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An adjustable approach to fuzzy soft set based decision making

✍ Scribed by Feng Feng; Young Bae Jun; Xiaoyan Liu; Lifeng Li

Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
604 KB
Volume
234
Category
Article
ISSN
0377-0427

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✦ Synopsis

Molodtsov's soft set theory was originally proposed as a general mathematical tool for dealing with uncertainty. Recently, decision making based on (fuzzy) soft sets has found paramount importance. This paper aims to give deeper insights into decision making based on fuzzy soft sets. We discuss the validity of the Roy-Maji method and show its true limitations. We point out that the choice value designed for the crisp case is no longer fit to solve decision making problems involving fuzzy soft sets. By means of level soft sets, we present an adjustable approach to fuzzy soft set based decision making and give some illustrative examples. Moreover, the weighted fuzzy soft set is introduced and its application to decision making is also investigated.

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