2019
DOI: 10.1504/ijids.2019.10017109
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Inverse fuzzy soft set and its application in decision making

Abstract: Molodtsov introduced the theory of soft sets, which can be seen as a new mathematical approach to vagueness. In this paper, we introduce a new soft set called an inverse fuzzy soft set, along with its properties, characteristics, and operations. Then we construct an algorithm using max-min and min-max decision of inverse fuzzy soft set for a fuzzy decision-making problem. Finally, we apply the algorithm to two decision-making problems to illustrate its applicability. It is shown that our proposed approach is v… Show more

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Cited by 7 publications
(2 citation statements)
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References 32 publications
(40 reference statements)
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“…The examples of the extension of soft expertise can be viewed in [12]. An inverse fuzzy soft set alongside it's own characteristics, operations and features was introduced by Khalil et al [15]. An algorithm is developed and it is used to apply an inverse fuzzy soft set to a problem involving decision-making.…”
Section: Introductionmentioning
confidence: 99%
“…The examples of the extension of soft expertise can be viewed in [12]. An inverse fuzzy soft set alongside it's own characteristics, operations and features was introduced by Khalil et al [15]. An algorithm is developed and it is used to apply an inverse fuzzy soft set to a problem involving decision-making.…”
Section: Introductionmentioning
confidence: 99%
“…Maji et al [28] defned the theory of fuzzy soft set (FSST), which was followed by research on picture FSST theory [29], time-neutrosophicS Set theory [30,31], possibility m-polarFSST theory [32], generalized intuitionistic FSST theory [33], inverse FSST theory [34], interval-valued picture FSST theory [35], generalized belief interval-val-uedS Set theory [36], and generalized picture FSST theory [37]. Aygünoglu and Aygün [38] explored fuzzy soft groups and discussed the applications of FSST to group theory.…”
Section: Introductionmentioning
confidence: 99%