Confidence soft sets and applications in supplier selection. (January 2019)

• Record Type: Journal Article
• Authors: Aggarwal, Manish
• Is Part Of: Computers & industrial engineering. Volume 127(2019)
• Page Start: 614
• Page End: 624
• Publication Date: 2019-01
• Subjects: Knowledge representation -- Multi criteria decision making -- Soft set -- Group decision making; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2018.11.005
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: A new uncertain and imprecise knowledge representation structure. Confidence soft set (CSS) theory is developed. CSS is extended to fuzzy and intuitionistic fuzzy domains. An approach for supplier selection using CSS proposed. Illustration of CSS in supplier selection problem. Abstract: The evaluation of the alternatives against multiple criteria is of the utmost importance in a multi-criteria decision making (MCDM) problem. It is often the case that the experts have a varying degree of confidence in their evaluations. That is, an evaluation has an associated degree of credibility. To take into account this crucial piece of information in determining the best choice, we present a new data structure. More specifically, we present a confidence-based soft set. We also extend the same to the fuzzy and intuitionistic fuzzy domains. The proposed concepts are elucidated through a number of illustrative examples. We establish their usefulness in a real case-study.