Melfi Alrasheedi | King Faisal University (original) (raw)

Papers by Melfi Alrasheedi

Frontiers in Energy Research, 2021

This study analyzes a dynamic long-run and short-run causal nexus between energy consumption and ... more This study analyzes a dynamic long-run and short-run causal nexus between energy consumption and economic growth in the presence of capital, labor, and urbanization over the period 1971–2014, in Malaysia. The stationarity issue was tested using augmented Dickey–Fuller (ADF), Kwiatkowski–Phillips–Schmidt–Shin (KPSS), and Ng–Perron tests. However, a dynamic long-run co-integration relation between variables was checked through the ARDL technique. An unrestricted vector error correction model (MUVECM) was used to estimate the short-run and long-run dynamic relations between the parameters and the Engle–Granger method was used for causality analysis. Results of statistical analysis confirmed that all variables were found to be I (1) except variable labour was I(0) and none of the variables was I(2). Total energy consumption Granger caused GDP in one direction over the period 1992-2010 in the case of Croatia. However, labor and urbanization impacts were mixed. The Granger causality analy...

International Journal of Applied Decision Sciences, 2019

Productivity measurement is assumed as one of the main guidelines to assess the effectiveness and... more Productivity measurement is assumed as one of the main guidelines to assess the effectiveness and efficiency of organisations. Productivity of the bank branches as main players of financial systems should be measured periodically. In this paper, the productivity and its components (i.e., technical efficiency change and technological frontier change) in 42 profit-making branches of a private bank in Tehran province, Iran, are analysed during the period 2014-2016. Inefficient bank branches are determined. The projection of inefficient bank branches toward efficient frontier is also discussed. Productivity and technical efficiency of production elements of branches of a private bank are investigated by Malmquist productivity index (MPI) and an input-oriented data envelopment analysis (DEA) in constant returns to scale (CRS) and variable returns to scale (VRS) conditions. Based on results, scale inefficiency had the greatest impact on technical efficiency in the case study.

Applied Soft Computing, 2018

Research Highlights:  A third party reverse logistic provider (3PRLP) selection and evaluation p... more Research Highlights:  A third party reverse logistic provider (3PRLP) selection and evaluation process is developed.  A multiple attribute decision making (MADM) model to evaluate and select 3PRLPs in the presence of risk factors is proposed.  A fuzzy step-wise weight assessment ratio analysis (SWARA) approach to weight the evaluation criteria is applied.  A fuzzy complex proportional assessment of alternatives (COPRAS) is proposed to rank and select the sustainable third-party reverse logistics providers in the presence of risk factors.  A real world case study is used from automotive industry to validate the quality of our model.

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM), 2020

With advancement in IT enabled tools, there is paradigm shift in maintenance process to become an... more With advancement in IT enabled tools, there is paradigm shift in maintenance process to become an automated or appropriately autonomous system. For understanding system and application of IT enabled tool s identification and prioritization of system attributes is essential. This paper is focused on identification of maintenance 4.0 attributes based on technological and governmental aspect and its prioritization using Fuzzy analytical hierarchical process (AHP) method. Fuzzy methodology was used to remove issues of uncertainty and vague judgments. Sensor technology, data analysis, database management and labor law were identified as pertinent attributes. The results were shared with the management for decision making.

Lecture Notes in Mechanical Engineering, 2021

Reliability and Risk Modeling of Engineering Systems, 2021

The objective of this chapter is to apply risk management framework for risk identification and a... more The objective of this chapter is to apply risk management framework for risk identification and analysis of steam generating unit (SGU) in sugar plant. Only internal operational risks were considered for analysis. The expert discussion and fish bone diagram were used for identification and presentation of operational risk, and in the second phase risk analysis was done for the failure causes identified. The conventional failure and mode and effect analysis (FMEA) was used for risk analysis. The uncertainties arising from biased and faulty judgements were removed by integrating fuzzy methodology in the analysis process. Fuzzy multi-attribute decision-making method (MADM)-based risk analysis was carried out to eliminate discrepancies. The fuzzy digraph and matrix approach (FDMA) was used to evaluate the risk factors and its interdependencies. The results of the analysis were compared for getting insights into the process of analysis by conventional and fuzzy-based approach. A mitigati...

Energy, 2021

Abstract Evaluating and selecting suitable low-carbon suppliers is one of the most disputed topic... more Abstract Evaluating and selecting suitable low-carbon suppliers is one of the most disputed topics in different industries. Some studies have more specifically investigated the role of sustainable low-carbon suppliers in the maritime sector. In general, sustainability is recognized as a vital philosophy for many industrial sectors since it enhances environmental protection and raises people's and organizations' awareness about social obligations. Therefore, choosing low-carbon suppliers based on the sustainability perspective is important for firms and organizations in order to effectively promote sustainable supplier chain management (SSCM). The present study develops a new fuzzy decision-making approach to rank and evaluate low-carbon, sustainable suppliers (LCSS) through the integration of the Combinative Distance-Based Assessment (CODAS) framework and intuitionistic fuzzy sets (IFSs), which results in a new approach called intuitionistic fuzzy CODAS (IF-CODAS). The paper is aimed at making a decision on the IFSs context by considering the decision makers' hesitancy based on both Hamming and Euclidean distances in accordance with the anti-ideal point. To evaluate the weights of the criteria, a new discrimination measure is developed. To show the practicality of the proposed approach, a case study for the assessment of low carbon sustainable suppliers is presented. To validate the developed approach, comparative research and sensitivity analysis were conducted in this study. The evaluation results showed that the fourth low-carbon sustainable supplier with a maximum assessment score degree (0.4747) using the proposed method was found the best option for selecting LCSS based on the sustainability perspective. Furthermore, the sensitivity analysis was made to observe the difference of alternative ranking when the importance values of criteria weights change.

International Journal of Fuzzy Systems, 2021

In the published article [1], the affiliations 2 and 3 were published incorrectly. They should be... more In the published article [1], the affiliations 2 and 3 were published incorrectly. They should be corrected as follows.

International Journal of E-Services and Mobile Applications, 2022

The majority of the Indian population is not getting the advantages of inclusive growth and devel... more The majority of the Indian population is not getting the advantages of inclusive growth and development in India, referred to as financial inclusion and has become a challenge for the Indian economy. The paper aims to investigate the use of available technology-enabled financial services and their role for financial inclusion in the current COVID 19 situation and the reaching rural and semi-urban India. The research is based on the in-depth analysis of the government policies and Fintech in the light of India's situation during COVID 19. The study reveals that the government showed the intent by opening a vast amount of banking accounts (411 million accounts) for financial inclusion in around six years. With radical changes in mobile subscribers and 4G, Internet, and Smartphone growth, India is close to achieving financial inclusion with full potential. However, significant change and development can be attained only if the government provides and motivates citizens to adopt the...

Technological Forecasting and Social Change, 2021

Abstract The growth of new cutting-edge technologies such as the Internet of Things (IoT) is prop... more Abstract The growth of new cutting-edge technologies such as the Internet of Things (IoT) is proposed by the industry 4.0 concept. Despite the vast potential of IoT to be used in the circular economy, the adoption of IoT is still in its primary step. This study aims to identify the important barriers to the adoption of IoT in the circular economy in the manufacturing sector. To this end, a survey study was conducted to construct a framework for the evaluation of the IoT adoption barriers in the circular economy. Therefore, a novel method integrating the Stepwise Weight Assessment Ratio Analysis (SWARA) and Combined Compromise Solution (CoCoSo) methods based on Pythagorean Fuzzy Sets (PFSs) was proposed. In this method, the SWARA model is used to estimate the significance degree or weighting degrees of the barriers, while the CoCoSo method is applied to ranking various organizations in the manufacturing sector under the identified barriers. To show the performance of the developed approach, a comparison analysis is performed of the selection of qualified organizations. The outcome of this study indicated that the developed approach was able to suggest more realistic performance under PFSs, hence providing a wide range of applications.

Sustainable Development, 2020

Recent years have witnessed the green growth as a renowned efficient approach to tracking the pro... more Recent years have witnessed the green growth as a renowned efficient approach to tracking the progress towards sustainable development. The paper is mainly aimed to propose an innovative extended approach based on Combined Compromise Solution (CoCoSo) and Interval-Valued Intuitionistic Fuzzy Set (IVIFS); thus, it is called IVIF Combined Compromise Solution (IVIF-CoCoSo). This study is the first effort that used the fuzzy sets theory and decision-making technique (entitled IVIF-CoCoSo) to rank and evaluate the indicators of green growth to sustainable manufacturing in the manufacturing sector. To reach the study objectives, a total of five indicators and 30 sub-indicators for evaluation of green growth are collected from the existing literature review. Subsequently, this study has been extended using the IVIF-CoCoSo approach for ranking, modeling, and evaluating the green growth indicators into sustainable manufacturing based on experts' opinions. The results of this study showed that the environmental and resource productivity of the economy indicators is more significant than the other indicators in the manufacturing sector. Moreover, findings confirmed the accuracy of the proposed method in solving the green growth problem, and comparison was also made between the results of the proposed method and some other Multi-Criteria Decision Making (MCDM) methods.

Technological Forecasting and Social Change, 2021

Abstract During these years, the sustainable Community-Based Tourism (CBT) notion has received mo... more Abstract During these years, the sustainable Community-Based Tourism (CBT) notion has received more attention in the context of the tourism industry. Sustainable CBT mainly emphasizes social, environmental, and cultural sustainability and gives power to local communities in any aspect of tourism management. This manuscript aims to propose a novel approach to examine the current status of sustainable CBT in the Indian Himalayan region context. In this regard, a comprehensive framework was developed using experts’ opinions, and the relevant literature in tourism studies was reviewed based on sustainable CBT. To this end, this study proposed an integrated decision-making method using Step-wise Weight Assessment Ratio Analysis (SWARA) and MULTIMOORA (Multiple Objective Optimization based on the Ratio Analysis plus Full Multiplicative Form) under Interval-Valued Pythagorean Fuzzy Sets (IVPFSs). Additionally, some comparisons were discussed with the outcomes obtained from the developed approach and those of extant ones to evaluate the efficiency of the proposed model. To confirm the applicability of the proposed IVPF-SWARA-MULTIMOORA approach to real-world decision-making problems, a sustainable CBT problem was considered as a case study. The final results confirmed the efficiency of the proposed approach as well as its consistency with the existing ones.

Journal of Enterprise Information Management, 2021

PurposeThe purpose of this study to introduce a new extended framework to evaluate and rank the s... more PurposeThe purpose of this study to introduce a new extended framework to evaluate and rank the sustainable suppliers based on the different sustainable criteria in the manufacturing companies using a new fuzzy decision-making approach.Design/methodology/approachThis paper introduces a new approach using decision-making and Pythagorean fuzzy sets (PFSs) to assess the best sustainable supplier. To doing so, this study integrated the entropy, stepwise weight assessment ratio analysis (SWARA) and weighted aggregates sum product assessment (WASPAS) methods under PFSs. To calculate the criteria weights, the combined entropy-SWARA method is used to compute the objective weight and subjective weight, respectively. Furthermore, the WASPAS model is utilized to rank sustainable supplier alternatives.FindingsThe results of the analysis found that occupational health and safety systems had the highest rank among other criteria, followed by green product and eco-design, green R&D and innovation ...

Renewable Energy, 2021

Abstract Renewable Energy Resources (RERs) are becoming increasingly significant for energy gener... more Abstract Renewable Energy Resources (RERs) are becoming increasingly significant for energy generation and will have vital for the future of humans, earth, and other living things. Due to the negative environmental impacts of fossil fuels, the authorities have taken RERs into account further. As a result, the present study extended a novel model using the Level Based Weight Assessment (LBWA) model based on in Interval Rough Number (IRN) extension of the Combinative Distance-Based Assessment (CODAS) method to cope with uncertain domain-based RER selection. A survey method using literature review and interview has been conducted to find and select appropriate perspectives and criteria; in this regard, the selected criteria were classified based on four groups, including socio-political, environmental, economic, and technical. Five sources of renewable energy, including solar energy, biomass energy, wind energy, hydropower energy, and geothermal energy, are evaluated in Turkey. The results of the extended IRN CODAS approach demonstrated that hydropower energy had the first rank among other sources, followed by solar energy, geothermal energy, biomass energy, and wind energy. In the application of the suggested model, the most suitable RER alternative is determined for Turkey. The results of this study showed the effectiveness, efficiency, and capability of the proposed methodology in the assessment of RERs.

Mathematics, 2020

The Best Worst Method (BWM) represents a powerful tool for multi-criteria decision-making and def... more The Best Worst Method (BWM) represents a powerful tool for multi-criteria decision-making and defining criteria weight coefficients. However, while solving real-world problems, there are specific multi-criteria problems where several criteria exert the same influence on decision-making. In such situations, the traditional postulates of the BWM imply the defining of one best criterion and one worst criterion from within a set of observed criteria. In this paper, an improvement of the traditional BWM that eliminates this problem is presented. The improved BWM (BWM-I) offers the possibility for decision-makers to express their preferences even in cases where there is more than one best and worst criterion. The development enables the following: (1) the BWM-I enables us to express experts’ preferences irrespective of the number of the best/worst criteria in a set of evaluation criteria; (2) the application of the BWM-I reduces the possibility of making a mistake while comparing pairs of...

Journal of Cleaner Production, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Sustainability, 2020

Bioenergy is a kind of renewable energy that can potentially contribute to a broad spectrum of ec... more Bioenergy is a kind of renewable energy that can potentially contribute to a broad spectrum of economic, environmental, and societal objectives and aid sustainable development. The assessment, management, and monitoring of the diverse bioenergy production technology alternatives are complex in nature and deliver different benefits due to the lack of precise and comprehensive data. Selection of an optimal bioenergy production technology (BPT) alternative is considered a complex multi-criteria decision-making (MCDM) problem that involves many incompatible tangible and intangible as well as qualitative and quantitative criteria. The procedure of defining and evaluating the weights of the criteria is an important concern for decision experts because the assessment and the final selection of the BPT alternative are carried out on the basis of the defined set of criteria. Intuitionistic fuzzy sets (IFSs) have received considerable attention due to their ability to handle the imprecision a...

Symmetry, 2020

In the literature of information theory and fuzzy set doctrine, there exist various prominent mea... more In the literature of information theory and fuzzy set doctrine, there exist various prominent measures of divergence; each possesses its own merits, demerits, and disciplines of applications. Divergence measure is a tool to compute the discrimination between two objects. Particularly, the idea of divergence measure for fuzzy sets is significant since it has applications in several areas viz., process control, decision making, image segmentation, and pattern recognition. In this paper, some new fuzzy divergence measures, which are generalizations of probabilistic divergence measures are introduced. Next, we review two different generalizations of the following measures. Firstly, directed divergence (Kullback–Leibler or Jeffrey invariant) and secondly, Jensen difference divergence, based on these measures, we develop a class of unified divergence measures for fuzzy sets (FSs). Then, a method based on divergence measure for fuzzy sets (FSs) is proposed to evaluate the multi-criteria de...

Journal of Cleaner Production, 2019

Evaluation of green and sustainable supply chain management using structural equation modelling: ... more Evaluation of green and sustainable supply chain management using structural equation modelling: A systematic review of the state of the art literature and recommendations for future research.

Frontiers in Energy Research, 2021

This study analyzes a dynamic long-run and short-run causal nexus between energy consumption and ... more This study analyzes a dynamic long-run and short-run causal nexus between energy consumption and economic growth in the presence of capital, labor, and urbanization over the period 1971–2014, in Malaysia. The stationarity issue was tested using augmented Dickey–Fuller (ADF), Kwiatkowski–Phillips–Schmidt–Shin (KPSS), and Ng–Perron tests. However, a dynamic long-run co-integration relation between variables was checked through the ARDL technique. An unrestricted vector error correction model (MUVECM) was used to estimate the short-run and long-run dynamic relations between the parameters and the Engle–Granger method was used for causality analysis. Results of statistical analysis confirmed that all variables were found to be I (1) except variable labour was I(0) and none of the variables was I(2). Total energy consumption Granger caused GDP in one direction over the period 1992-2010 in the case of Croatia. However, labor and urbanization impacts were mixed. The Granger causality analy...

International Journal of Applied Decision Sciences, 2019

Productivity measurement is assumed as one of the main guidelines to assess the effectiveness and... more Productivity measurement is assumed as one of the main guidelines to assess the effectiveness and efficiency of organisations. Productivity of the bank branches as main players of financial systems should be measured periodically. In this paper, the productivity and its components (i.e., technical efficiency change and technological frontier change) in 42 profit-making branches of a private bank in Tehran province, Iran, are analysed during the period 2014-2016. Inefficient bank branches are determined. The projection of inefficient bank branches toward efficient frontier is also discussed. Productivity and technical efficiency of production elements of branches of a private bank are investigated by Malmquist productivity index (MPI) and an input-oriented data envelopment analysis (DEA) in constant returns to scale (CRS) and variable returns to scale (VRS) conditions. Based on results, scale inefficiency had the greatest impact on technical efficiency in the case study.

Applied Soft Computing, 2018

Research Highlights:  A third party reverse logistic provider (3PRLP) selection and evaluation p... more Research Highlights:  A third party reverse logistic provider (3PRLP) selection and evaluation process is developed.  A multiple attribute decision making (MADM) model to evaluate and select 3PRLPs in the presence of risk factors is proposed.  A fuzzy step-wise weight assessment ratio analysis (SWARA) approach to weight the evaluation criteria is applied.  A fuzzy complex proportional assessment of alternatives (COPRAS) is proposed to rank and select the sustainable third-party reverse logistics providers in the presence of risk factors.  A real world case study is used from automotive industry to validate the quality of our model.

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM), 2020

With advancement in IT enabled tools, there is paradigm shift in maintenance process to become an... more With advancement in IT enabled tools, there is paradigm shift in maintenance process to become an automated or appropriately autonomous system. For understanding system and application of IT enabled tool s identification and prioritization of system attributes is essential. This paper is focused on identification of maintenance 4.0 attributes based on technological and governmental aspect and its prioritization using Fuzzy analytical hierarchical process (AHP) method. Fuzzy methodology was used to remove issues of uncertainty and vague judgments. Sensor technology, data analysis, database management and labor law were identified as pertinent attributes. The results were shared with the management for decision making.

Lecture Notes in Mechanical Engineering, 2021

Reliability and Risk Modeling of Engineering Systems, 2021

The objective of this chapter is to apply risk management framework for risk identification and a... more The objective of this chapter is to apply risk management framework for risk identification and analysis of steam generating unit (SGU) in sugar plant. Only internal operational risks were considered for analysis. The expert discussion and fish bone diagram were used for identification and presentation of operational risk, and in the second phase risk analysis was done for the failure causes identified. The conventional failure and mode and effect analysis (FMEA) was used for risk analysis. The uncertainties arising from biased and faulty judgements were removed by integrating fuzzy methodology in the analysis process. Fuzzy multi-attribute decision-making method (MADM)-based risk analysis was carried out to eliminate discrepancies. The fuzzy digraph and matrix approach (FDMA) was used to evaluate the risk factors and its interdependencies. The results of the analysis were compared for getting insights into the process of analysis by conventional and fuzzy-based approach. A mitigati...

Energy, 2021

Abstract Evaluating and selecting suitable low-carbon suppliers is one of the most disputed topic... more Abstract Evaluating and selecting suitable low-carbon suppliers is one of the most disputed topics in different industries. Some studies have more specifically investigated the role of sustainable low-carbon suppliers in the maritime sector. In general, sustainability is recognized as a vital philosophy for many industrial sectors since it enhances environmental protection and raises people's and organizations' awareness about social obligations. Therefore, choosing low-carbon suppliers based on the sustainability perspective is important for firms and organizations in order to effectively promote sustainable supplier chain management (SSCM). The present study develops a new fuzzy decision-making approach to rank and evaluate low-carbon, sustainable suppliers (LCSS) through the integration of the Combinative Distance-Based Assessment (CODAS) framework and intuitionistic fuzzy sets (IFSs), which results in a new approach called intuitionistic fuzzy CODAS (IF-CODAS). The paper is aimed at making a decision on the IFSs context by considering the decision makers' hesitancy based on both Hamming and Euclidean distances in accordance with the anti-ideal point. To evaluate the weights of the criteria, a new discrimination measure is developed. To show the practicality of the proposed approach, a case study for the assessment of low carbon sustainable suppliers is presented. To validate the developed approach, comparative research and sensitivity analysis were conducted in this study. The evaluation results showed that the fourth low-carbon sustainable supplier with a maximum assessment score degree (0.4747) using the proposed method was found the best option for selecting LCSS based on the sustainability perspective. Furthermore, the sensitivity analysis was made to observe the difference of alternative ranking when the importance values of criteria weights change.

International Journal of Fuzzy Systems, 2021

In the published article [1], the affiliations 2 and 3 were published incorrectly. They should be... more In the published article [1], the affiliations 2 and 3 were published incorrectly. They should be corrected as follows.

International Journal of E-Services and Mobile Applications, 2022

The majority of the Indian population is not getting the advantages of inclusive growth and devel... more The majority of the Indian population is not getting the advantages of inclusive growth and development in India, referred to as financial inclusion and has become a challenge for the Indian economy. The paper aims to investigate the use of available technology-enabled financial services and their role for financial inclusion in the current COVID 19 situation and the reaching rural and semi-urban India. The research is based on the in-depth analysis of the government policies and Fintech in the light of India's situation during COVID 19. The study reveals that the government showed the intent by opening a vast amount of banking accounts (411 million accounts) for financial inclusion in around six years. With radical changes in mobile subscribers and 4G, Internet, and Smartphone growth, India is close to achieving financial inclusion with full potential. However, significant change and development can be attained only if the government provides and motivates citizens to adopt the...

Technological Forecasting and Social Change, 2021

Abstract The growth of new cutting-edge technologies such as the Internet of Things (IoT) is prop... more Abstract The growth of new cutting-edge technologies such as the Internet of Things (IoT) is proposed by the industry 4.0 concept. Despite the vast potential of IoT to be used in the circular economy, the adoption of IoT is still in its primary step. This study aims to identify the important barriers to the adoption of IoT in the circular economy in the manufacturing sector. To this end, a survey study was conducted to construct a framework for the evaluation of the IoT adoption barriers in the circular economy. Therefore, a novel method integrating the Stepwise Weight Assessment Ratio Analysis (SWARA) and Combined Compromise Solution (CoCoSo) methods based on Pythagorean Fuzzy Sets (PFSs) was proposed. In this method, the SWARA model is used to estimate the significance degree or weighting degrees of the barriers, while the CoCoSo method is applied to ranking various organizations in the manufacturing sector under the identified barriers. To show the performance of the developed approach, a comparison analysis is performed of the selection of qualified organizations. The outcome of this study indicated that the developed approach was able to suggest more realistic performance under PFSs, hence providing a wide range of applications.

Sustainable Development, 2020

Recent years have witnessed the green growth as a renowned efficient approach to tracking the pro... more Recent years have witnessed the green growth as a renowned efficient approach to tracking the progress towards sustainable development. The paper is mainly aimed to propose an innovative extended approach based on Combined Compromise Solution (CoCoSo) and Interval-Valued Intuitionistic Fuzzy Set (IVIFS); thus, it is called IVIF Combined Compromise Solution (IVIF-CoCoSo). This study is the first effort that used the fuzzy sets theory and decision-making technique (entitled IVIF-CoCoSo) to rank and evaluate the indicators of green growth to sustainable manufacturing in the manufacturing sector. To reach the study objectives, a total of five indicators and 30 sub-indicators for evaluation of green growth are collected from the existing literature review. Subsequently, this study has been extended using the IVIF-CoCoSo approach for ranking, modeling, and evaluating the green growth indicators into sustainable manufacturing based on experts' opinions. The results of this study showed that the environmental and resource productivity of the economy indicators is more significant than the other indicators in the manufacturing sector. Moreover, findings confirmed the accuracy of the proposed method in solving the green growth problem, and comparison was also made between the results of the proposed method and some other Multi-Criteria Decision Making (MCDM) methods.

Technological Forecasting and Social Change, 2021

Abstract During these years, the sustainable Community-Based Tourism (CBT) notion has received mo... more Abstract During these years, the sustainable Community-Based Tourism (CBT) notion has received more attention in the context of the tourism industry. Sustainable CBT mainly emphasizes social, environmental, and cultural sustainability and gives power to local communities in any aspect of tourism management. This manuscript aims to propose a novel approach to examine the current status of sustainable CBT in the Indian Himalayan region context. In this regard, a comprehensive framework was developed using experts’ opinions, and the relevant literature in tourism studies was reviewed based on sustainable CBT. To this end, this study proposed an integrated decision-making method using Step-wise Weight Assessment Ratio Analysis (SWARA) and MULTIMOORA (Multiple Objective Optimization based on the Ratio Analysis plus Full Multiplicative Form) under Interval-Valued Pythagorean Fuzzy Sets (IVPFSs). Additionally, some comparisons were discussed with the outcomes obtained from the developed approach and those of extant ones to evaluate the efficiency of the proposed model. To confirm the applicability of the proposed IVPF-SWARA-MULTIMOORA approach to real-world decision-making problems, a sustainable CBT problem was considered as a case study. The final results confirmed the efficiency of the proposed approach as well as its consistency with the existing ones.

Journal of Enterprise Information Management, 2021

PurposeThe purpose of this study to introduce a new extended framework to evaluate and rank the s... more PurposeThe purpose of this study to introduce a new extended framework to evaluate and rank the sustainable suppliers based on the different sustainable criteria in the manufacturing companies using a new fuzzy decision-making approach.Design/methodology/approachThis paper introduces a new approach using decision-making and Pythagorean fuzzy sets (PFSs) to assess the best sustainable supplier. To doing so, this study integrated the entropy, stepwise weight assessment ratio analysis (SWARA) and weighted aggregates sum product assessment (WASPAS) methods under PFSs. To calculate the criteria weights, the combined entropy-SWARA method is used to compute the objective weight and subjective weight, respectively. Furthermore, the WASPAS model is utilized to rank sustainable supplier alternatives.FindingsThe results of the analysis found that occupational health and safety systems had the highest rank among other criteria, followed by green product and eco-design, green R&D and innovation ...

Renewable Energy, 2021

Abstract Renewable Energy Resources (RERs) are becoming increasingly significant for energy gener... more Abstract Renewable Energy Resources (RERs) are becoming increasingly significant for energy generation and will have vital for the future of humans, earth, and other living things. Due to the negative environmental impacts of fossil fuels, the authorities have taken RERs into account further. As a result, the present study extended a novel model using the Level Based Weight Assessment (LBWA) model based on in Interval Rough Number (IRN) extension of the Combinative Distance-Based Assessment (CODAS) method to cope with uncertain domain-based RER selection. A survey method using literature review and interview has been conducted to find and select appropriate perspectives and criteria; in this regard, the selected criteria were classified based on four groups, including socio-political, environmental, economic, and technical. Five sources of renewable energy, including solar energy, biomass energy, wind energy, hydropower energy, and geothermal energy, are evaluated in Turkey. The results of the extended IRN CODAS approach demonstrated that hydropower energy had the first rank among other sources, followed by solar energy, geothermal energy, biomass energy, and wind energy. In the application of the suggested model, the most suitable RER alternative is determined for Turkey. The results of this study showed the effectiveness, efficiency, and capability of the proposed methodology in the assessment of RERs.

Mathematics, 2020

The Best Worst Method (BWM) represents a powerful tool for multi-criteria decision-making and def... more The Best Worst Method (BWM) represents a powerful tool for multi-criteria decision-making and defining criteria weight coefficients. However, while solving real-world problems, there are specific multi-criteria problems where several criteria exert the same influence on decision-making. In such situations, the traditional postulates of the BWM imply the defining of one best criterion and one worst criterion from within a set of observed criteria. In this paper, an improvement of the traditional BWM that eliminates this problem is presented. The improved BWM (BWM-I) offers the possibility for decision-makers to express their preferences even in cases where there is more than one best and worst criterion. The development enables the following: (1) the BWM-I enables us to express experts’ preferences irrespective of the number of the best/worst criteria in a set of evaluation criteria; (2) the application of the BWM-I reduces the possibility of making a mistake while comparing pairs of...

Journal of Cleaner Production, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Sustainability, 2020

Bioenergy is a kind of renewable energy that can potentially contribute to a broad spectrum of ec... more Bioenergy is a kind of renewable energy that can potentially contribute to a broad spectrum of economic, environmental, and societal objectives and aid sustainable development. The assessment, management, and monitoring of the diverse bioenergy production technology alternatives are complex in nature and deliver different benefits due to the lack of precise and comprehensive data. Selection of an optimal bioenergy production technology (BPT) alternative is considered a complex multi-criteria decision-making (MCDM) problem that involves many incompatible tangible and intangible as well as qualitative and quantitative criteria. The procedure of defining and evaluating the weights of the criteria is an important concern for decision experts because the assessment and the final selection of the BPT alternative are carried out on the basis of the defined set of criteria. Intuitionistic fuzzy sets (IFSs) have received considerable attention due to their ability to handle the imprecision a...

Symmetry, 2020

In the literature of information theory and fuzzy set doctrine, there exist various prominent mea... more In the literature of information theory and fuzzy set doctrine, there exist various prominent measures of divergence; each possesses its own merits, demerits, and disciplines of applications. Divergence measure is a tool to compute the discrimination between two objects. Particularly, the idea of divergence measure for fuzzy sets is significant since it has applications in several areas viz., process control, decision making, image segmentation, and pattern recognition. In this paper, some new fuzzy divergence measures, which are generalizations of probabilistic divergence measures are introduced. Next, we review two different generalizations of the following measures. Firstly, directed divergence (Kullback–Leibler or Jeffrey invariant) and secondly, Jensen difference divergence, based on these measures, we develop a class of unified divergence measures for fuzzy sets (FSs). Then, a method based on divergence measure for fuzzy sets (FSs) is proposed to evaluate the multi-criteria de...

Journal of Cleaner Production, 2019

Evaluation of green and sustainable supply chain management using structural equation modelling: ... more Evaluation of green and sustainable supply chain management using structural equation modelling: A systematic review of the state of the art literature and recommendations for future research.