Multi-attribute decision-making based on soft set theory: a systematic review

Multi-attribute decision-making (MADM) is a cognitive process for evaluating data under various attributes in order to find the best option in terms of the preferences of decision makers. Handling uncertainty and vagueness in most real-world decision-making problems involves the application of mathe...

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Main Authors: Khameneh, Azadeh Zahedi, Kilicman, Adem
Format: Article
Language:English
Published: Springer Verlag 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81435/
http://psasir.upm.edu.my/id/eprint/81435/1/Multi-attribute%20decision-making%20based%20on%20soft%20set%20theory%20a%20systematic%20review.pdf
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author Khameneh, Azadeh Zahedi
Kilicman, Adem
author_facet Khameneh, Azadeh Zahedi
Kilicman, Adem
author_sort Khameneh, Azadeh Zahedi
building UPM Institutional Repository
collection Online Access
description Multi-attribute decision-making (MADM) is a cognitive process for evaluating data under various attributes in order to find the best option in terms of the preferences of decision makers. Handling uncertainty and vagueness in most real-world decision-making problems involves the application of mathematical tools dealing with uncertainty, such as soft set (SS) theory in decision-making processes. In recent years, different approaches have been suggested for demonstrating the effectiveness and efficiency of soft set theory in MADM. To date, no systematic literature review has been presented in this area. However, a review paper on existing SS-based methods can help future researchers to find the gaps and missing MADM approaches in current studies. In this paper, we review the methodologies and applications of 71 research papers published in 30 academic journals (extracted from online databases including ScienceDirect, Scopus, Springer, World of Scientific, and Hindawi) between January 2000 and December 2017. These papers have been categorized into two main groups: single and hybrid approaches. In addition, they have been classified with respect to MADM techniques, country of origin, journal, and publication year. The statistical analysis shows that “SSAW” method which has been employed by various authors is the most common technique. Moreover, the number of research publications by academics was highest in 2017. In addition, the “Applied Mathematical Modelling” journal and China are ranked as the academic journal and country that have presented the most major contributions in this domain, respectively.
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spelling upm-814352021-01-30T07:55:02Z http://psasir.upm.edu.my/id/eprint/81435/ Multi-attribute decision-making based on soft set theory: a systematic review Khameneh, Azadeh Zahedi Kilicman, Adem Multi-attribute decision-making (MADM) is a cognitive process for evaluating data under various attributes in order to find the best option in terms of the preferences of decision makers. Handling uncertainty and vagueness in most real-world decision-making problems involves the application of mathematical tools dealing with uncertainty, such as soft set (SS) theory in decision-making processes. In recent years, different approaches have been suggested for demonstrating the effectiveness and efficiency of soft set theory in MADM. To date, no systematic literature review has been presented in this area. However, a review paper on existing SS-based methods can help future researchers to find the gaps and missing MADM approaches in current studies. In this paper, we review the methodologies and applications of 71 research papers published in 30 academic journals (extracted from online databases including ScienceDirect, Scopus, Springer, World of Scientific, and Hindawi) between January 2000 and December 2017. These papers have been categorized into two main groups: single and hybrid approaches. In addition, they have been classified with respect to MADM techniques, country of origin, journal, and publication year. The statistical analysis shows that “SSAW” method which has been employed by various authors is the most common technique. Moreover, the number of research publications by academics was highest in 2017. In addition, the “Applied Mathematical Modelling” journal and China are ranked as the academic journal and country that have presented the most major contributions in this domain, respectively. Springer Verlag 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81435/1/Multi-attribute%20decision-making%20based%20on%20soft%20set%20theory%20a%20systematic%20review.pdf Khameneh, Azadeh Zahedi and Kilicman, Adem (2019) Multi-attribute decision-making based on soft set theory: a systematic review. Soft Computing, 23 (16). pp. 6899-6920. ISSN 1432-7643; ESSN: 1433-7479 https://link.springer.com/article/10.1007/s00500-018-3330-7 10.1007/s00500-018-3330-7
spellingShingle Khameneh, Azadeh Zahedi
Kilicman, Adem
Multi-attribute decision-making based on soft set theory: a systematic review
title Multi-attribute decision-making based on soft set theory: a systematic review
title_full Multi-attribute decision-making based on soft set theory: a systematic review
title_fullStr Multi-attribute decision-making based on soft set theory: a systematic review
title_full_unstemmed Multi-attribute decision-making based on soft set theory: a systematic review
title_short Multi-attribute decision-making based on soft set theory: a systematic review
title_sort multi-attribute decision-making based on soft set theory: a systematic review
url http://psasir.upm.edu.my/id/eprint/81435/
http://psasir.upm.edu.my/id/eprint/81435/
http://psasir.upm.edu.my/id/eprint/81435/
http://psasir.upm.edu.my/id/eprint/81435/1/Multi-attribute%20decision-making%20based%20on%20soft%20set%20theory%20a%20systematic%20review.pdf