A Rough Approximation of Fuzzy Soft Set-Based Decision-Making Approach in Supplier Selection Problem. Issue 2 (3rd April 2018)

• Record Type: Journal Article
• Authors: Chatterjee, A.; Mukherjee, S.; Kar, S.
• Is Part Of: Fuzzy information and engineering. Volume 10:Issue 2(2018)
• Page Start: 178
• Page End: 195
• Publication Date: 2018-04-03
• Subjects: Supplier selection problem -- soft set -- fuzzy soft set -- rough set -- rough approximation of fuzzy soft set; Fuzzy systems -- Periodicals; Intelligent control systems -- Periodicals; 629.89
• DOI: 10.1080/16168658.2018.1517973
• Languages: English
• ISSNs: 1616-8658

Abstract

ABSTRACT: Nowadays, supplier selection process, a multicriteria decision-making problem, has become one of the most indispensable parts for every purchasing sector for the improvement of performances of business operations. Most of the literatures in this field have considered only the opinion of decision-makers. But in fact, each company has its own opinion about the suppliers. The purpose of this paper is to select the best supplier by integrating the opinions of both decision- makers and company's stake holders. In this literature, these opinions are taken as fuzzy soft sets. These two fuzzy soft sets are then integrated by the rough approximation theory. The attributes in this literature are taken in the form of linguistic variable. At the end of this paper, a case study is given to illustrate the proposed method for selecting the best supplier.