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


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Article Info

DATE

2018-06-19

AUTHORS

Azadeh Zahedi Khameneh, Adem Kılıçman

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. More... »

PAGES

6899-6920

References to SciGraph publications

  • 2016-02-08. Another approach to rough soft hemirings and corresponding decision making in SOFT COMPUTING
  • 2013-03-01. Fuzzy soft set theory applied to medical diagnosis using fuzzy arithmetic operations in JOURNAL OF INEQUALITIES AND APPLICATIONS
  • 2013-05-07. Application of soft sets to diagnose the prostate cancer risk in JOURNAL OF INEQUALITIES AND APPLICATIONS
  • 2012-08-12. A new order relation on fuzzy soft sets and its application in SOFT COMPUTING
  • 1981. Multiple Attribute Decision Making, Methods and Applications A State-of-the-Art Survey in NONE
  • 2017-05-23. An Algorithmic Approach for Predicting Unknown Information in Incomplete Fuzzy Soft Set in ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
  • 2011-12-22. Soft fuzzy rough sets and its application in decision making in ARTIFICIAL INTELLIGENCE REVIEW
  • 2015-10-29. Fuzzy parameterized fuzzy soft sets and decision making in INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
  • 2017-07-10. Generalized and group-based generalized intuitionistic fuzzy soft sets with applications in decision-making in APPLIED INTELLIGENCE
  • 2016-11-28. An Adjustable Approach to Multi-Criteria Group Decision-Making Based on a Preference Relationship Under Fuzzy Soft Information in INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
  • 2017-09-18. A nonlinear-programming methodology for multi-attribute decision-making problem with interval-valued intuitionistic fuzzy soft sets information in APPLIED INTELLIGENCE
  • 2014-09-02. 2-Tuple linguistic soft set and its application to group decision making in SOFT COMPUTING
  • 1982-10. Rough sets in INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING
  • 2016-08-08. Intuitionistic fuzzy soft graphs with applications in JOURNAL OF APPLIED MATHEMATICS AND COMPUTING
  • 2011. Data Filling Approach of Soft Sets under Incomplete Information in INTELLIGENT INFORMATION AND DATABASE SYSTEMS
  • 2015-07-29. Intuitionistic Fuzzy Soft Set Decision Criterion for Selecting Appropriate Block Cipher in 3D RESEARCH
  • 2015-12-31. A novel decision making approach based on intuitionistic fuzzy soft sets in INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
  • 2012-04-13. A method based on interval-valued fuzzy soft set for multi-attribute group decision-making problems under uncertain environment in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2017. A New Criterion for Soft Set Based Decision Making Problems under Incomplete Information in INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
  • 2015-11-27. Interval-valued neutrosophic soft sets and its decision making in INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
  • 2016-03-15. A novel soft rough fuzzy set: Z-soft rough fuzzy ideals of hemirings and corresponding decision making in SOFT COMPUTING
  • 2016-04-07. Representation of graphs based on neighborhoods and soft sets in INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
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