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 mat...

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Vydané v:	Soft computing (Berlin, Germany) Ročník 23; číslo 16; s. 6899 - 6920
Hlavní autori:	Zahedi Khameneh, Azadeh, Kılıçman, Adem
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2019 Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Computational Intelligence Content analysis Control Decision making Decision theory Engineering Fuzzy sets Hierarchies Literature reviews Mathematical analysis Mathematical Logic and Foundations Mechatronics Methodologies and Application Research methodology Robotics Set theory Statistical analysis System theory Uncertainty Literature review Soft set Multi-attribute decision-making Fuzzy soft set
ISSN:	1432-7643, 1433-7479
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Abstract	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.
AbstractList	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. 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.
Author	Zahedi Khameneh, Azadeh Kılıçman, Adem
Author_xml	– sequence: 1 givenname: Azadeh surname: Zahedi Khameneh fullname: Zahedi Khameneh, Azadeh email: azadeh503@gmail.com organization: Institute for Mathematical Research, Universiti Putra Malaysia, UPM – sequence: 2 givenname: Adem surname: Kılıçman fullname: Kılıçman, Adem organization: Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, UPM
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Snippet	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... 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...
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SubjectTerms	Algorithms Artificial Intelligence Computational Intelligence Content analysis Control Decision making Decision theory Engineering Fuzzy sets Hierarchies Literature reviews Mathematical analysis Mathematical Logic and Foundations Mechatronics Methodologies and Application Research methodology Robotics Set theory Statistical analysis System theory Uncertainty
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Title	Multi-attribute decision-making based on soft set theory: a systematic review
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