Rana Muhammad Zulqarnain - Academia.edu (original) (raw)
Papers by Rana Muhammad Zulqarnain
Journal of Function Spaces
The Pythagorean fuzzy soft set (PFSS) is the most proficient and manipulative leeway of the Pytha... more The Pythagorean fuzzy soft set (PFSS) is the most proficient and manipulative leeway of the Pythagorean fuzzy set (PFS), which contracts with parameterized values of the alternatives. It is a generalized form of the intuitionistic fuzzy soft set (IFSS), which provides healthier and more accurate evaluations through decision-making (DM). The main determination of this research is to prolong the idea of Einstein’s aggregation operators for PFSS. We introduce the Einstein operational laws for Pythagorean fuzzy soft numbers (PFSNs). Based on Einstein operational laws, we construct two novel aggregation operators (AOs) such as Pythagorean fuzzy soft Einstein-weighted averaging (PFSEWA) and Pythagorean fuzzy soft Einstein-weighted geometric (PFSEWG) operators. In addition, important possessions of proposed operators, such as idempotency, boundedness, and homogeneity, are discussed. Furthermore, to validate the practicability of the anticipated operators, a multiple attribute group decisio...
Computer Modeling in Engineering & Sciences
Interval-valued Pythagorean fuzzy soft set (IVPFSS) is a generalization of the interval-valued in... more Interval-valued Pythagorean fuzzy soft set (IVPFSS) is a generalization of the interval-valued intuitionistic fuzzy soft set (IVIFSS) and interval-valued Pythagorean fuzzy set (IVPFS). The IVPFSS handled more uncertainty comparative to IVIFSS; it is the most significant technique for explaining fuzzy information in the decision-making process. In this work, some novel operational laws for IVPFSS have been proposed. Based on presented operational laws, two innovative aggregation operators (AOs) have been developed such as interval-valued Pythagorean fuzzy soft weighted average (IVPFSWA) and interval-valued Pythagorean fuzzy soft weighted geometric (IVPFSWG) operators with their fundamental properties. A multi-attribute group decision-making (MAGDM) approach has been established utilizing our developed operators. A numerical example has been presented to ensure the validity of the proposed MAGDM technique. Finally, comparative studies have been given between the proposed approach and some existing studies. The obtained results through comparative studies show that the proposed technique is more credible and reliable than existing approaches.
IEEE Access
The Pythagorean fuzzy hypersoft set is the most generalized form of the Pythagorean fuzzy soft se... more The Pythagorean fuzzy hypersoft set is the most generalized form of the Pythagorean fuzzy soft set used to resolve indeterminate and inexplicit information in the decision-making procedure, considering the parameters' multi-sub-attributes. Aggregation operators execute a dynamic role in considering the two prospect sequences and eliminating anxieties from this perception. The hybrid form of Pythagorean fuzzy sets with hypersoft sets has appeared as a supportive structure in fuzzy mathematics and ensued as a convenient perspective in decision-making. This paper prolongs the Einstein-weighted ordered aggregation operators for the Pythagorean fuzzy hypersoft set, which proficiently contracts with tentative and confusing data. Experts are using the Pythagorean fuzzy hypersoft set in their quest to report indefinite and specific decision-making processes. It is an effective technique for enlarging unsure facts in decision-making. Some operational laws for the Pythagorean fuzzy hypersoft set have been projected in light of Einstein's operations. Two innovative Einstein-ordered aggregation operators were established based on operational laws: Pythagorean fuzzy hypersoft Einstein-ordered weighted average and Pythagorean fuzzy hypersoft Einstein-ordered weighted geometric operators with their essential properties. Multi-criteria decisionmaking is imperative in overcoming barriers to real-world complications. However, conventional methods of multi-criteria decision-making regularly provide inconsistent results. The extended model appraisals recognized score values to regulate robotic agri-farming equated to prevalent methods, which is more useful for agribusiness. A numerical illustration of decision-making complications in real-life farming is deliberated to authenticate the established method's supremacy and applicability. Based on the anticipated aggregation operators, a robust multi-criteria decision-making method has been presented, which delivers the most appropriate outcomes compared to existing multi-criteria decision-making techniques. The consequences show that the intended approach is more effective and stable in handling rough information based on the Pythagorean fuzzy hypersoft set. INDEX TERMS Hypersoft set, Pythagorean fuzzy hypersoft set, Einstein operators, Pythagorean fuzzy hypersoft Einstein-ordered weighted average operator, Pythagorean fuzzy hypersoft Einstein ordered weighted geometric operator, multi-criteria decision making. The associate editor coordinating the review of this manuscript and approving it for publication was Wai-Keung Fung .
Computational Intelligence and Neuroscience
The nonlinear transformation concedes as S-box which is responsible for the certainty of contempo... more The nonlinear transformation concedes as S-box which is responsible for the certainty of contemporary block ciphers. Many kinds of S-boxes are planned by various authors in the literature. Construction of S-box with a powerful cryptographic analysis is the vital step in scheming block cipher. Through this paper, we give more powerful and worthy S-boxes and compare their characteristics with some previous S-boxes employed in cryptography. The algorithm program planned in this paper applies the action of projective general linear group P G L 2 , G F 2 8 on Galois field G F 2 8 . The proposed S-boxes are constructed by using Mobius transformation and elements of Galois field. By using this approach, we will encrypt an image which is the preeminent application of S-boxes. These S-boxes offer a strong algebraic quality and powerful confusion capability. We have tested the strength of the proposed S-boxes by using different tests, BIC, SAC, DP, LP, and nonlinearity. Furthermore, we have a...
Chinese Journal of Physics
The skin protects the human body against dehydration and harmful challenges. Keratinocytes (KCs) ... more The skin protects the human body against dehydration and harmful challenges. Keratinocytes (KCs) are the most abundant epidermal cells, and it is anticipated that KC-mediated transport of Na + ions creates a physiological barrier of high osmolality against the external environment. Here, we studied the role of NFAT5, a transcription factor whose activity is controlled by osmotic stress in KCs. Cultured KCs from adult mice were found to secrete more than 300 proteins, and upon NFAT5 ablation, the secretion of several matrix proteinases, including metalloproteinase-3 (Mmp3) and kallikrein-related peptidase 7 (Klk7), was markedly enhanced. An increase in Mmp3 and Klk7 RNA levels was also detected in transcriptomes of Nfat5-/-KCs, along with increases of numerous members of the 'Epidermal Differentiation Complex' (EDC), such as small proline-rich (Sprr) and S100 proteins. NFAT5 and Mmp3 as well as NFAT5 and Klk7 are co-expressed in the basal KCs of fetal and adult epidermis but not in basal KCs of newborn (NB) mice. The poor NFAT5 expression in NB KCs is correlated with a strong increase in Mmp3 and Klk7 expression in KCs of NB mice. These data suggests that, along with the fragile epidermis of adult Nfat5-/mice, NFAT5 keeps in check the expression of matrix proteases in epidermis. The NFAT5-mediated control of matrix proteases in epidermis contributes to the manifold changes in skin development in embryos before and during birth, and to the integrity of epidermis in adults.
The correlation coefficient among the two parameters plays a significant part in statistics. Furt... more The correlation coefficient among the two parameters plays a significant part in statistics. Further, the exactness in the assessment of correlation depends upon information from the set of discourse. The data collected for various statistical studies is full of ambiguities. In this paper, we discuss some basic concepts which are helpful to build the structure of present research such as soft set, hypersoft set, and neutrosophic hypersoft set (NHSS). The neutrosophic hypersoft set is an extension of the neutrosophic soft set. In it, we establish the idea of correlation and weighted correlation coefficients with some desirable properties under NHSS. We also, propose a new decision-making technique and construct an algorithm based on developed correlation measures. Furthermore, To ensure the applicability of the proposed methods an illustrative example is given.
Multi-criteria decision-making (MCDM) focuses on coordination, choice and planning issues, includ... more Multi-criteria decision-making (MCDM) focuses on coordination, choice and planning issues, including multi-criteria. the neutrosophic soft set cannot handle environments involving multiple attributes. In order to overcome these obstacles, the neutrosophic hypersoft set (NHSS) and Interval Value neutrosophic hypersoft set (IVNHSS) are defined. In this paper, we extend the concept of IVNHSS with basic properties. We also developed some basic operations on IVNHSS such as union, intersection, addition, difference, Truth-favorite, and False-favorite, etc. with their desirable properties. Finally, the necessity and possibility operations on IVNHSS with properties are presented in the following research
Multi-criteria decision making (MCDM) is the technique of selecting the best alternative from mul... more Multi-criteria decision making (MCDM) is the technique of selecting the best alternative from multiple alternatives and multiple conditions. The technique for order preference by similarity to an ideal solution (TOPSIS) is a crucial practical technique for ranking and selecting different options by using a distance measure. In this article, we protract the fuzzy TOPSIS technique to neutrosophic fuzzy TOPSIS and prove the accuracy of the method by explaining the MCDM problem with single-valued neutrosophic information and use the method for supplier selection in the production industry. We hope that this article will promote future scientific research on numerous existing issues based on multi-criteria decision making.
Multiple Criteria Decision Making (MCDM) is a process in which we choose the best alternative fro... more Multiple Criteria Decision Making (MCDM) is a process in which we choose the best alternative from all feasible alternatives. In this paper, we study fuzzy sets with some basic concepts and fuzzy TOPSIS (technique for order preference by similarity to ideal solution) method. We proposed the TOPSIS method under a fuzzy environment and expressed the rating of each alternative and weight of each criterion in the form of a triangular fuzzy number. Finally, we used the proposed method for decision making in the garments industry for the selection of supplier.
International Journal of Pharmaceutical Sciences Review and Research, 2020
The research work is an integrated attempt to enhance knowledge that how seismic properties are e... more The research work is an integrated attempt to enhance knowledge that how seismic properties are effected with pressure at constant temperature and with temperature at constant pressure. This research work is done using the data of UCH well 22 located near Sui in Middle Indus Basin and BOBI well 08 located in Sindh Province (Pakistan) in Lower Indus Basin. Graphically result shows that a compressional velocity, densities, effective densities, Bulk modulus and Bulk modulus of rock saturated has directly relationship with pressure at constant temperature for oil, gas and water. Graphically results also shows that a compressional velocities, densities, effective densities, Bulk modulus and Bulk modulus of rock saturated has inverse relationship with temperature at constant pressure for oil, gas and water.
International Journal of Services and Operations Management, 2013
Nowadays, reverse logistics (RL) has received considerable attention due to its huge potential of... more Nowadays, reverse logistics (RL) has received considerable attention due to its huge potential of product recovery from unused/end-of-life products for the purpose of capturing value. The selection of favourable product recovery option for the product arriving at workplace has become a key issue for effective implementation of RL. Many decision making methods have been developed to deal with such a multiple criteria decision making problem. Keeping in view of RL implementation, a method is proposed in this paper for designing effective policy for reverse manufacturing alternative selection. The proposed method attempts to consider both subjective and objective weights of qualitative and quantitative attributes and integrates them to decide the importance of weights of the alternatives. Furthermore, fuzzy rating values assigned by the decision makers are converted into crisp values to simplify the calculations. This paper presents a group decision making tool combining RL with a novel multiple criterion decision making approach to decide reverse manufacturing alternatives.
Mathematical Problems in Engineering
The Pythagorean fuzzy soft set (PFSS) is the most influential and operative tool for maneuvering ... more The Pythagorean fuzzy soft set (PFSS) is the most influential and operative tool for maneuvering compared to the Pythagorean fuzzy set (PFS), which can accommodate the parameterization of alternatives. It is also a generalized form of intuitionistic fuzzy soft sets (IFSS), which delivers healthier and more exact valuations in the decision-making (DM) procedure. The primary purpose is to extend and propose ideas related to Einstein’s ordered weighted geometric aggregation operator from fuzzy structure to PFSS structure. The core objective of this work is to present a PFSS aggregation operator, such as the Pythagorean fuzzy soft Einstein-ordered weighted geometric (PFSEOWG) operator. In addition, the basic properties of the proposed operator are introduced, such as idempotency, boundedness, and homogeneity. Moreover, a DM method based on a developed operator has been presented to solve the multiattribute group decision-making (MAGDM) problem. A real-life application of the anticipated...
Multi-criteria decision making (MCDM) is the technique of selecting the best alternative<br>... more Multi-criteria decision making (MCDM) is the technique of selecting the best alternative<br> from multiple alternatives and multiple conditions. The technique for order preference by similarity<br> to an ideal solution (TOPSIS) is a crucial practical technique for ranking and selecting different<br> options by using a distance measure. In this article, we protract the fuzzy TOPSIS technique to<br> neutrosophic fuzzy TOPSIS, and prove the accuracy of the method by explaining the MCDM<br> problem with single-value neutrosophic information, and use the method for supplier selection in<br> the production industry. We hope that this article will promote future scientific research on<br> numerous existence issues based on multi-criteria decision making.
Neutrosophic Sets and Systems, 2020
Multi-criteria decision making (MCDM) is concerned about coordinating as well as looking after se... more Multi-criteria decision making (MCDM) is concerned about coordinating as well as looking after selection as well as planning problems which included multi-criteria. The neutrosophic soft set cannot handle the environment which involved more than one attribute. To overcome those hurdles neutrosophic hypersoft set (NHSS) is defined. In this paper, we proposed the generalized aggregate operators on NHSSsuch as extended union, extended intersection, OR-operation, AND-operation, etc.withtheir properties. Finally, the necessity and possibility operations on NHSS with suitable examples and properties are presented in the following research
Computational Intelligence and Neuroscience, 2021
The electrocardiogram (ECG) is one of the most widely used diagnostic instruments in medicine and... more The electrocardiogram (ECG) is one of the most widely used diagnostic instruments in medicine and healthcare. Deep learning methods have shown promise in healthcare prediction challenges involving ECG data. This paper aims to apply deep learning techniques on the publicly available dataset to classify arrhythmia. We have used two kinds of the dataset in our research paper. One dataset is the MIT-BIH arrhythmia database, with a sampling frequency of 125 Hz with 1,09,446 ECG beats. The classes included in this first dataset are N, S, V, F, and Q. The second database is PTB Diagnostic ECG Database. The second database has two classes. The techniques used in these two datasets are the CNN model, CNN + LSTM, and CNN + LSTM + Attention Model. 80% of the data is used for the training, and the remaining 20% is used for testing. The result achieved by using these three techniques shows the accuracy of 99.12% for the CNN model, 99.3% for CNN + LSTM, and 99.29% for CNN + LSTM + Attention Model.
The correlation coefficient between two variables plays an essential part in statistics. In addit... more The correlation coefficient between two variables plays an essential part in statistics. In addition, the preciseness in the assessment of correlation relies on information from the set of discourse. The data collected for various statistical studies is full of ambiguities. In this article, we investigated some fundamental concepts that strengthen the current research structure, such as soft sets, hypersoft sets, neutrosophic hypersoft set (NHSS), and interval-valued neutrosophic hypersoft set (IVNHSS). The IVNHSS is an extension of the interval-valued neutrosophic soft set. The main objective of this paper is to develop the concept of correlation and weighted correlation coefficients for IVNHSS. We also, discuss the desirable properties of correlation and weighted correlation coefficients under the IVNHSS environment in the following research. Also, develop a decisionmaking technique based on the proposed correlation coefficient. Through the developed methodology, a technique for s...
Mathematical Problems in Engineering
Pythagorean fuzzy soft set (PFSS) is the most influential and operative extension of the Pythagor... more Pythagorean fuzzy soft set (PFSS) is the most influential and operative extension of the Pythagorean fuzzy set (PFS), which contracts with the parametrized standards of the substitutes. It is also a generalized form of the intuitionistic fuzzy soft set (IFSS) and delivers a well and accurate estimation in the decision-making (DM) procedure. The primary purpose is to prolong and propose ideas related to Einstein’s ordered weighted aggregation operator from fuzzy to PFSS, comforting the condition that the sum of the degrees of membership function and nonmembership function is less than one and the sum of the squares of the degree of membership function and nonmembership function is less than one. We present a novel Pythagorean fuzzy soft Einstein ordered weighted averaging (PFSEOWA) operator based on operational laws for Pythagorean fuzzy soft numbers. Furthermore, some essential properties such as idempotency, boundedness, and homogeneity for the proposed operator have been presented...
In this paper, we examine the multicriteria decision-making (MCDM) difficulties for Pythagorean f... more In this paper, we examine the multicriteria decision-making (MCDM) difficulties for Pythagorean fuzzy hypersoft sets (PFHSSs). The PFHSSs are a suitable extension of the Pythagorean fuzzy soft sets (PFSSs) which deliberates the parametrization of multi-subattributes of considered parameters. It is a most substantial notion for describing fuzzy information in the decision-making (DM) procedure to accommodate more vagueness comparative to existing PFSSs and intuitionistic fuzzy hypersoft sets (IFHSSs). The core objective of this study is to plan some innovative operational laws considering the interaction for Pythagorean fuzzy hypersoft numbers (PFHSNs). Also, based on settled interaction operational laws, two aggregation operators (AOs) i.e., Pythagorean fuzzy hypersoft interaction weighted average (PFHSIWA) and Pythagorean fuzzy hypersoft interaction weighted geometric (PFHSIWG) operators for PFHSSs operators have been presented with their fundamental properties. Furthermore, an MCD...
Journal of Function Spaces
The Pythagorean fuzzy soft set (PFSS) is the most proficient and manipulative leeway of the Pytha... more The Pythagorean fuzzy soft set (PFSS) is the most proficient and manipulative leeway of the Pythagorean fuzzy set (PFS), which contracts with parameterized values of the alternatives. It is a generalized form of the intuitionistic fuzzy soft set (IFSS), which provides healthier and more accurate evaluations through decision-making (DM). The main determination of this research is to prolong the idea of Einstein’s aggregation operators for PFSS. We introduce the Einstein operational laws for Pythagorean fuzzy soft numbers (PFSNs). Based on Einstein operational laws, we construct two novel aggregation operators (AOs) such as Pythagorean fuzzy soft Einstein-weighted averaging (PFSEWA) and Pythagorean fuzzy soft Einstein-weighted geometric (PFSEWG) operators. In addition, important possessions of proposed operators, such as idempotency, boundedness, and homogeneity, are discussed. Furthermore, to validate the practicability of the anticipated operators, a multiple attribute group decisio...
Computer Modeling in Engineering & Sciences
Interval-valued Pythagorean fuzzy soft set (IVPFSS) is a generalization of the interval-valued in... more Interval-valued Pythagorean fuzzy soft set (IVPFSS) is a generalization of the interval-valued intuitionistic fuzzy soft set (IVIFSS) and interval-valued Pythagorean fuzzy set (IVPFS). The IVPFSS handled more uncertainty comparative to IVIFSS; it is the most significant technique for explaining fuzzy information in the decision-making process. In this work, some novel operational laws for IVPFSS have been proposed. Based on presented operational laws, two innovative aggregation operators (AOs) have been developed such as interval-valued Pythagorean fuzzy soft weighted average (IVPFSWA) and interval-valued Pythagorean fuzzy soft weighted geometric (IVPFSWG) operators with their fundamental properties. A multi-attribute group decision-making (MAGDM) approach has been established utilizing our developed operators. A numerical example has been presented to ensure the validity of the proposed MAGDM technique. Finally, comparative studies have been given between the proposed approach and some existing studies. The obtained results through comparative studies show that the proposed technique is more credible and reliable than existing approaches.
IEEE Access
The Pythagorean fuzzy hypersoft set is the most generalized form of the Pythagorean fuzzy soft se... more The Pythagorean fuzzy hypersoft set is the most generalized form of the Pythagorean fuzzy soft set used to resolve indeterminate and inexplicit information in the decision-making procedure, considering the parameters' multi-sub-attributes. Aggregation operators execute a dynamic role in considering the two prospect sequences and eliminating anxieties from this perception. The hybrid form of Pythagorean fuzzy sets with hypersoft sets has appeared as a supportive structure in fuzzy mathematics and ensued as a convenient perspective in decision-making. This paper prolongs the Einstein-weighted ordered aggregation operators for the Pythagorean fuzzy hypersoft set, which proficiently contracts with tentative and confusing data. Experts are using the Pythagorean fuzzy hypersoft set in their quest to report indefinite and specific decision-making processes. It is an effective technique for enlarging unsure facts in decision-making. Some operational laws for the Pythagorean fuzzy hypersoft set have been projected in light of Einstein's operations. Two innovative Einstein-ordered aggregation operators were established based on operational laws: Pythagorean fuzzy hypersoft Einstein-ordered weighted average and Pythagorean fuzzy hypersoft Einstein-ordered weighted geometric operators with their essential properties. Multi-criteria decisionmaking is imperative in overcoming barriers to real-world complications. However, conventional methods of multi-criteria decision-making regularly provide inconsistent results. The extended model appraisals recognized score values to regulate robotic agri-farming equated to prevalent methods, which is more useful for agribusiness. A numerical illustration of decision-making complications in real-life farming is deliberated to authenticate the established method's supremacy and applicability. Based on the anticipated aggregation operators, a robust multi-criteria decision-making method has been presented, which delivers the most appropriate outcomes compared to existing multi-criteria decision-making techniques. The consequences show that the intended approach is more effective and stable in handling rough information based on the Pythagorean fuzzy hypersoft set. INDEX TERMS Hypersoft set, Pythagorean fuzzy hypersoft set, Einstein operators, Pythagorean fuzzy hypersoft Einstein-ordered weighted average operator, Pythagorean fuzzy hypersoft Einstein ordered weighted geometric operator, multi-criteria decision making. The associate editor coordinating the review of this manuscript and approving it for publication was Wai-Keung Fung .
Computational Intelligence and Neuroscience
The nonlinear transformation concedes as S-box which is responsible for the certainty of contempo... more The nonlinear transformation concedes as S-box which is responsible for the certainty of contemporary block ciphers. Many kinds of S-boxes are planned by various authors in the literature. Construction of S-box with a powerful cryptographic analysis is the vital step in scheming block cipher. Through this paper, we give more powerful and worthy S-boxes and compare their characteristics with some previous S-boxes employed in cryptography. The algorithm program planned in this paper applies the action of projective general linear group P G L 2 , G F 2 8 on Galois field G F 2 8 . The proposed S-boxes are constructed by using Mobius transformation and elements of Galois field. By using this approach, we will encrypt an image which is the preeminent application of S-boxes. These S-boxes offer a strong algebraic quality and powerful confusion capability. We have tested the strength of the proposed S-boxes by using different tests, BIC, SAC, DP, LP, and nonlinearity. Furthermore, we have a...
Chinese Journal of Physics
The skin protects the human body against dehydration and harmful challenges. Keratinocytes (KCs) ... more The skin protects the human body against dehydration and harmful challenges. Keratinocytes (KCs) are the most abundant epidermal cells, and it is anticipated that KC-mediated transport of Na + ions creates a physiological barrier of high osmolality against the external environment. Here, we studied the role of NFAT5, a transcription factor whose activity is controlled by osmotic stress in KCs. Cultured KCs from adult mice were found to secrete more than 300 proteins, and upon NFAT5 ablation, the secretion of several matrix proteinases, including metalloproteinase-3 (Mmp3) and kallikrein-related peptidase 7 (Klk7), was markedly enhanced. An increase in Mmp3 and Klk7 RNA levels was also detected in transcriptomes of Nfat5-/-KCs, along with increases of numerous members of the 'Epidermal Differentiation Complex' (EDC), such as small proline-rich (Sprr) and S100 proteins. NFAT5 and Mmp3 as well as NFAT5 and Klk7 are co-expressed in the basal KCs of fetal and adult epidermis but not in basal KCs of newborn (NB) mice. The poor NFAT5 expression in NB KCs is correlated with a strong increase in Mmp3 and Klk7 expression in KCs of NB mice. These data suggests that, along with the fragile epidermis of adult Nfat5-/mice, NFAT5 keeps in check the expression of matrix proteases in epidermis. The NFAT5-mediated control of matrix proteases in epidermis contributes to the manifold changes in skin development in embryos before and during birth, and to the integrity of epidermis in adults.
The correlation coefficient among the two parameters plays a significant part in statistics. Furt... more The correlation coefficient among the two parameters plays a significant part in statistics. Further, the exactness in the assessment of correlation depends upon information from the set of discourse. The data collected for various statistical studies is full of ambiguities. In this paper, we discuss some basic concepts which are helpful to build the structure of present research such as soft set, hypersoft set, and neutrosophic hypersoft set (NHSS). The neutrosophic hypersoft set is an extension of the neutrosophic soft set. In it, we establish the idea of correlation and weighted correlation coefficients with some desirable properties under NHSS. We also, propose a new decision-making technique and construct an algorithm based on developed correlation measures. Furthermore, To ensure the applicability of the proposed methods an illustrative example is given.
Multi-criteria decision-making (MCDM) focuses on coordination, choice and planning issues, includ... more Multi-criteria decision-making (MCDM) focuses on coordination, choice and planning issues, including multi-criteria. the neutrosophic soft set cannot handle environments involving multiple attributes. In order to overcome these obstacles, the neutrosophic hypersoft set (NHSS) and Interval Value neutrosophic hypersoft set (IVNHSS) are defined. In this paper, we extend the concept of IVNHSS with basic properties. We also developed some basic operations on IVNHSS such as union, intersection, addition, difference, Truth-favorite, and False-favorite, etc. with their desirable properties. Finally, the necessity and possibility operations on IVNHSS with properties are presented in the following research
Multi-criteria decision making (MCDM) is the technique of selecting the best alternative from mul... more Multi-criteria decision making (MCDM) is the technique of selecting the best alternative from multiple alternatives and multiple conditions. The technique for order preference by similarity to an ideal solution (TOPSIS) is a crucial practical technique for ranking and selecting different options by using a distance measure. In this article, we protract the fuzzy TOPSIS technique to neutrosophic fuzzy TOPSIS and prove the accuracy of the method by explaining the MCDM problem with single-valued neutrosophic information and use the method for supplier selection in the production industry. We hope that this article will promote future scientific research on numerous existing issues based on multi-criteria decision making.
Multiple Criteria Decision Making (MCDM) is a process in which we choose the best alternative fro... more Multiple Criteria Decision Making (MCDM) is a process in which we choose the best alternative from all feasible alternatives. In this paper, we study fuzzy sets with some basic concepts and fuzzy TOPSIS (technique for order preference by similarity to ideal solution) method. We proposed the TOPSIS method under a fuzzy environment and expressed the rating of each alternative and weight of each criterion in the form of a triangular fuzzy number. Finally, we used the proposed method for decision making in the garments industry for the selection of supplier.
International Journal of Pharmaceutical Sciences Review and Research, 2020
The research work is an integrated attempt to enhance knowledge that how seismic properties are e... more The research work is an integrated attempt to enhance knowledge that how seismic properties are effected with pressure at constant temperature and with temperature at constant pressure. This research work is done using the data of UCH well 22 located near Sui in Middle Indus Basin and BOBI well 08 located in Sindh Province (Pakistan) in Lower Indus Basin. Graphically result shows that a compressional velocity, densities, effective densities, Bulk modulus and Bulk modulus of rock saturated has directly relationship with pressure at constant temperature for oil, gas and water. Graphically results also shows that a compressional velocities, densities, effective densities, Bulk modulus and Bulk modulus of rock saturated has inverse relationship with temperature at constant pressure for oil, gas and water.
International Journal of Services and Operations Management, 2013
Nowadays, reverse logistics (RL) has received considerable attention due to its huge potential of... more Nowadays, reverse logistics (RL) has received considerable attention due to its huge potential of product recovery from unused/end-of-life products for the purpose of capturing value. The selection of favourable product recovery option for the product arriving at workplace has become a key issue for effective implementation of RL. Many decision making methods have been developed to deal with such a multiple criteria decision making problem. Keeping in view of RL implementation, a method is proposed in this paper for designing effective policy for reverse manufacturing alternative selection. The proposed method attempts to consider both subjective and objective weights of qualitative and quantitative attributes and integrates them to decide the importance of weights of the alternatives. Furthermore, fuzzy rating values assigned by the decision makers are converted into crisp values to simplify the calculations. This paper presents a group decision making tool combining RL with a novel multiple criterion decision making approach to decide reverse manufacturing alternatives.
Mathematical Problems in Engineering
The Pythagorean fuzzy soft set (PFSS) is the most influential and operative tool for maneuvering ... more The Pythagorean fuzzy soft set (PFSS) is the most influential and operative tool for maneuvering compared to the Pythagorean fuzzy set (PFS), which can accommodate the parameterization of alternatives. It is also a generalized form of intuitionistic fuzzy soft sets (IFSS), which delivers healthier and more exact valuations in the decision-making (DM) procedure. The primary purpose is to extend and propose ideas related to Einstein’s ordered weighted geometric aggregation operator from fuzzy structure to PFSS structure. The core objective of this work is to present a PFSS aggregation operator, such as the Pythagorean fuzzy soft Einstein-ordered weighted geometric (PFSEOWG) operator. In addition, the basic properties of the proposed operator are introduced, such as idempotency, boundedness, and homogeneity. Moreover, a DM method based on a developed operator has been presented to solve the multiattribute group decision-making (MAGDM) problem. A real-life application of the anticipated...
Multi-criteria decision making (MCDM) is the technique of selecting the best alternative<br>... more Multi-criteria decision making (MCDM) is the technique of selecting the best alternative<br> from multiple alternatives and multiple conditions. The technique for order preference by similarity<br> to an ideal solution (TOPSIS) is a crucial practical technique for ranking and selecting different<br> options by using a distance measure. In this article, we protract the fuzzy TOPSIS technique to<br> neutrosophic fuzzy TOPSIS, and prove the accuracy of the method by explaining the MCDM<br> problem with single-value neutrosophic information, and use the method for supplier selection in<br> the production industry. We hope that this article will promote future scientific research on<br> numerous existence issues based on multi-criteria decision making.
Neutrosophic Sets and Systems, 2020
Multi-criteria decision making (MCDM) is concerned about coordinating as well as looking after se... more Multi-criteria decision making (MCDM) is concerned about coordinating as well as looking after selection as well as planning problems which included multi-criteria. The neutrosophic soft set cannot handle the environment which involved more than one attribute. To overcome those hurdles neutrosophic hypersoft set (NHSS) is defined. In this paper, we proposed the generalized aggregate operators on NHSSsuch as extended union, extended intersection, OR-operation, AND-operation, etc.withtheir properties. Finally, the necessity and possibility operations on NHSS with suitable examples and properties are presented in the following research
Computational Intelligence and Neuroscience, 2021
The electrocardiogram (ECG) is one of the most widely used diagnostic instruments in medicine and... more The electrocardiogram (ECG) is one of the most widely used diagnostic instruments in medicine and healthcare. Deep learning methods have shown promise in healthcare prediction challenges involving ECG data. This paper aims to apply deep learning techniques on the publicly available dataset to classify arrhythmia. We have used two kinds of the dataset in our research paper. One dataset is the MIT-BIH arrhythmia database, with a sampling frequency of 125 Hz with 1,09,446 ECG beats. The classes included in this first dataset are N, S, V, F, and Q. The second database is PTB Diagnostic ECG Database. The second database has two classes. The techniques used in these two datasets are the CNN model, CNN + LSTM, and CNN + LSTM + Attention Model. 80% of the data is used for the training, and the remaining 20% is used for testing. The result achieved by using these three techniques shows the accuracy of 99.12% for the CNN model, 99.3% for CNN + LSTM, and 99.29% for CNN + LSTM + Attention Model.
The correlation coefficient between two variables plays an essential part in statistics. In addit... more The correlation coefficient between two variables plays an essential part in statistics. In addition, the preciseness in the assessment of correlation relies on information from the set of discourse. The data collected for various statistical studies is full of ambiguities. In this article, we investigated some fundamental concepts that strengthen the current research structure, such as soft sets, hypersoft sets, neutrosophic hypersoft set (NHSS), and interval-valued neutrosophic hypersoft set (IVNHSS). The IVNHSS is an extension of the interval-valued neutrosophic soft set. The main objective of this paper is to develop the concept of correlation and weighted correlation coefficients for IVNHSS. We also, discuss the desirable properties of correlation and weighted correlation coefficients under the IVNHSS environment in the following research. Also, develop a decisionmaking technique based on the proposed correlation coefficient. Through the developed methodology, a technique for s...
Mathematical Problems in Engineering
Pythagorean fuzzy soft set (PFSS) is the most influential and operative extension of the Pythagor... more Pythagorean fuzzy soft set (PFSS) is the most influential and operative extension of the Pythagorean fuzzy set (PFS), which contracts with the parametrized standards of the substitutes. It is also a generalized form of the intuitionistic fuzzy soft set (IFSS) and delivers a well and accurate estimation in the decision-making (DM) procedure. The primary purpose is to prolong and propose ideas related to Einstein’s ordered weighted aggregation operator from fuzzy to PFSS, comforting the condition that the sum of the degrees of membership function and nonmembership function is less than one and the sum of the squares of the degree of membership function and nonmembership function is less than one. We present a novel Pythagorean fuzzy soft Einstein ordered weighted averaging (PFSEOWA) operator based on operational laws for Pythagorean fuzzy soft numbers. Furthermore, some essential properties such as idempotency, boundedness, and homogeneity for the proposed operator have been presented...
In this paper, we examine the multicriteria decision-making (MCDM) difficulties for Pythagorean f... more In this paper, we examine the multicriteria decision-making (MCDM) difficulties for Pythagorean fuzzy hypersoft sets (PFHSSs). The PFHSSs are a suitable extension of the Pythagorean fuzzy soft sets (PFSSs) which deliberates the parametrization of multi-subattributes of considered parameters. It is a most substantial notion for describing fuzzy information in the decision-making (DM) procedure to accommodate more vagueness comparative to existing PFSSs and intuitionistic fuzzy hypersoft sets (IFHSSs). The core objective of this study is to plan some innovative operational laws considering the interaction for Pythagorean fuzzy hypersoft numbers (PFHSNs). Also, based on settled interaction operational laws, two aggregation operators (AOs) i.e., Pythagorean fuzzy hypersoft interaction weighted average (PFHSIWA) and Pythagorean fuzzy hypersoft interaction weighted geometric (PFHSIWG) operators for PFHSSs operators have been presented with their fundamental properties. Furthermore, an MCD...