An adjustable approach to intuitionistic fuzzy soft sets based decision making
Applied Mathematical ModellingPublished 22 July 2010
Yuncheng Jiang, Yong Tang, Qimai Chen
Citations209
SJR quartileQ1
SJR score1.13
SNIP1.72
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TL;DR
This paper generalizes the adjustable approach to fuzzy soft sets based decision making by using level soft sets of intuitionistic fuzzysoft sets and introduces the weighted intuitionistic soft sets and investigates its application to decision making.
Abstract
Molodtsov initiated the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. There has been some progress concerning practical applications of soft set theory, especially the use of soft sets in decision making. In this paper we generalize the adjustable approach to fuzzy soft sets based decision making. Concretely, we present an adjustable approach to intuitionistic fuzzy soft sets based decision making by using level soft sets of intuitionistic fuzzy soft sets and give some illustrative examples. The properties of level soft sets are presented and discussed. Moreover, we also introduce the weighted intuitionistic fuzzy soft sets and investigate its application to decision making.
Keywords
Computer ScienceDecision Sciences
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