K. Ruth Isabels - Academia.edu (original) (raw)

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Papers by K. Ruth Isabels

Research paper thumbnail of Evaluating and Ranking Metaverse Platforms Using Intuitionistic Trapezoidal Fuzzy VIKOR MCDM: Incorporating Score and Accuracy Functions for Comprehensive Assessment

Decision Making, Nov 13, 2023

The purpose of this study is to develop a new approach of decision-making for addressing multi-at... more The purpose of this study is to develop a new approach of decision-making for addressing multi-attribute decision-making problems within a trapezoidal intuitionistic fuzzy environment, while taking into account decision makers' psychological behavior. As a starting point, we propose and apply a distance metric model for trapezoidal intuitionistic fuzzy numbers. Then, by incorporating the expected value, score function, and accuracy value, we create a novel approach by comparing it with the results obtained from the VIKOR multi-criteria decision-making technique, allowing us to account for decision makers' risk tolerance. Through correlation analysis, we assess the similarities and deviations in the resulting rankings. Finally, we illustrate the practical utility and feasibility of our proposed approach by evaluating the digital marketing capabilities of a few metaverse platforms using standards set in line with marketing mix criteria.

Research paper thumbnail of An Application of Linguistic Variables in Assignment Problem with Fuzzy Costs

This paper presents an assignment problem with fuzzy costs, where the objective is to minimize th... more This paper presents an assignment problem with fuzzy costs, where the objective is to minimize the cost. Here each fuzzy cost is assumed as triangular or trapezoidal fuzzy number. Yager's ranking method has been used for ranking the fuzzy numbers. The fuzzy assignment problem has been transformed into a crisp one, using linguistic variables and solved by Hungarian technique. The use of linguistic variables helps to convert qualitative data into quantitative data which will be effective in dealing with fuzzy assignment problems of qualitative nature. A numerical example is provided to demonstrate the proposed approach.

Research paper thumbnail of Ionic liquids assisted LQL for turning PH steels: smart methodology

Ionic liquids assisted LQL for turning PH steels: smart methodology

Materials and Manufacturing Processes, Mar 13, 2023

Research paper thumbnail of A Meta-Classification Model for Optimized ZBot Malware Prediction Using Learning Algorithms

Mathematics, Jun 24, 2023

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Research paper thumbnail of Utilization of AI for Streamlining and Optimizing Credit Decision Process and Security Access Loan Risks in the Banking Sector

Utilization of AI for Streamlining and Optimizing Credit Decision Process and Security Access Loan Risks in the Banking Sector

2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Sep 21, 2022

Research paper thumbnail of Analysis of Mathematical Modelling Deterministic and Stochastic Problems in Federated Learning

Analysis of Mathematical Modelling Deterministic and Stochastic Problems in Federated Learning

2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

Research paper thumbnail of Ionic liquids assisted LQL for turning PH steels: smart methodology

Ionic liquids assisted LQL for turning PH steels: smart methodology

Materials and Manufacturing Processes

Research paper thumbnail of An Intellectual Fusion Classification Prototypical for an Imbalanced Electrocardiogram Data

An Intellectual Fusion Classification Prototypical for an Imbalanced Electrocardiogram Data

SN Computer Science

Research paper thumbnail of Utilization of AI for Streamlining and Optimizing Credit Decision Process and Security Access Loan Risks in the Banking Sector

Utilization of AI for Streamlining and Optimizing Credit Decision Process and Security Access Loan Risks in the Banking Sector

2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)

Research paper thumbnail of Analyze the anomalous behavior of wireless networking using the big data analytics

Analyze the anomalous behavior of wireless networking using the big data analytics

Measurement: Sensors

Research paper thumbnail of An Application of Linguistic Variables in Assignment Problem with Fuzzy Costs

This paper presents an assignment problem with fuzzy costs, where the objective is to minimize th... more This paper presents an assignment problem with fuzzy costs, where the objective is to minimize the cost. Here each fuzzy cost is assumed as triangular or trapezoidal fuzzy number. Yager’s ranking method has been used for ranking the fuzzy numbers. The fuzzy assignment problem has been transformed into a crisp one, using linguistic variables and solved by Hungarian technique. The use of linguistic variables helps to convert qualitative data into quantitative data which will be effective in dealing with fuzzy assignment problems of qualitative nature. A numerical example is provided to demonstrate the proposed approach.

Research paper thumbnail of Evaluating and Ranking Metaverse Platforms Using Intuitionistic Trapezoidal Fuzzy VIKOR MCDM: Incorporating Score and Accuracy Functions for Comprehensive Assessment

Decision Making, Nov 13, 2023

The purpose of this study is to develop a new approach of decision-making for addressing multi-at... more The purpose of this study is to develop a new approach of decision-making for addressing multi-attribute decision-making problems within a trapezoidal intuitionistic fuzzy environment, while taking into account decision makers' psychological behavior. As a starting point, we propose and apply a distance metric model for trapezoidal intuitionistic fuzzy numbers. Then, by incorporating the expected value, score function, and accuracy value, we create a novel approach by comparing it with the results obtained from the VIKOR multi-criteria decision-making technique, allowing us to account for decision makers' risk tolerance. Through correlation analysis, we assess the similarities and deviations in the resulting rankings. Finally, we illustrate the practical utility and feasibility of our proposed approach by evaluating the digital marketing capabilities of a few metaverse platforms using standards set in line with marketing mix criteria.

Research paper thumbnail of An Application of Linguistic Variables in Assignment Problem with Fuzzy Costs

This paper presents an assignment problem with fuzzy costs, where the objective is to minimize th... more This paper presents an assignment problem with fuzzy costs, where the objective is to minimize the cost. Here each fuzzy cost is assumed as triangular or trapezoidal fuzzy number. Yager's ranking method has been used for ranking the fuzzy numbers. The fuzzy assignment problem has been transformed into a crisp one, using linguistic variables and solved by Hungarian technique. The use of linguistic variables helps to convert qualitative data into quantitative data which will be effective in dealing with fuzzy assignment problems of qualitative nature. A numerical example is provided to demonstrate the proposed approach.

Research paper thumbnail of Ionic liquids assisted LQL for turning PH steels: smart methodology

Ionic liquids assisted LQL for turning PH steels: smart methodology

Materials and Manufacturing Processes, Mar 13, 2023

Research paper thumbnail of A Meta-Classification Model for Optimized ZBot Malware Prediction Using Learning Algorithms

Mathematics, Jun 24, 2023

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Research paper thumbnail of Utilization of AI for Streamlining and Optimizing Credit Decision Process and Security Access Loan Risks in the Banking Sector

Utilization of AI for Streamlining and Optimizing Credit Decision Process and Security Access Loan Risks in the Banking Sector

2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Sep 21, 2022

Research paper thumbnail of Analysis of Mathematical Modelling Deterministic and Stochastic Problems in Federated Learning

Analysis of Mathematical Modelling Deterministic and Stochastic Problems in Federated Learning

2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

Research paper thumbnail of Ionic liquids assisted LQL for turning PH steels: smart methodology

Ionic liquids assisted LQL for turning PH steels: smart methodology

Materials and Manufacturing Processes

Research paper thumbnail of An Intellectual Fusion Classification Prototypical for an Imbalanced Electrocardiogram Data

An Intellectual Fusion Classification Prototypical for an Imbalanced Electrocardiogram Data

SN Computer Science

Research paper thumbnail of Utilization of AI for Streamlining and Optimizing Credit Decision Process and Security Access Loan Risks in the Banking Sector

Utilization of AI for Streamlining and Optimizing Credit Decision Process and Security Access Loan Risks in the Banking Sector

2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)

Research paper thumbnail of Analyze the anomalous behavior of wireless networking using the big data analytics

Analyze the anomalous behavior of wireless networking using the big data analytics

Measurement: Sensors

Research paper thumbnail of An Application of Linguistic Variables in Assignment Problem with Fuzzy Costs

This paper presents an assignment problem with fuzzy costs, where the objective is to minimize th... more This paper presents an assignment problem with fuzzy costs, where the objective is to minimize the cost. Here each fuzzy cost is assumed as triangular or trapezoidal fuzzy number. Yager’s ranking method has been used for ranking the fuzzy numbers. The fuzzy assignment problem has been transformed into a crisp one, using linguistic variables and solved by Hungarian technique. The use of linguistic variables helps to convert qualitative data into quantitative data which will be effective in dealing with fuzzy assignment problems of qualitative nature. A numerical example is provided to demonstrate the proposed approach.