Ideal solutions for hesitant fuzzy soft sets

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dc.contributor.authorTabasam Rashid
dc.date.accessioned2018-10-15T07:45:32Z
dc.date.available2018-10-15T07:45:32Z
dc.date.issued2016
dc.description.abstractDealing with uncertainty is a difficult task and different tools have been proposed in the literature to handle it. Hesitant fuzzy sets are highly useful in resolving situations where people hesitate when providing their preferences. In this paper, the concept of a hesitant fuzzy soft set is modified to manage the situations in which experts assess an alternative according to finite criteria in all possible values. Next a distance measure is defined between any two elements of hesitant fuzzy soft set. Technique for order preference by similarity to ideal solution is also proposed in hesitant fuzzy soft set. An example is constructed for ranking of alternativesen_US
dc.identifier.citationBeg, I., & Rashid, T. (2016). Ideal solutions for hesitant fuzzy soft sets, Journal of Intelligent & Fuzzy Systems, 30, 143–150. (Tabasam Rashid (Mathematics /SSC), JCR LISTED (IF:1:004))en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/3228
dc.language.isoenen_US
dc.publisherJournal of Intelligent & Fuzzy Systems,IOS Pressen_US
dc.subjectMathematicsen_US
dc.subjectHesitant fuzzy soft set, TOPSIS, Multiple attributes group decision making.en_US
dc.titleIdeal solutions for hesitant fuzzy soft setsen_US
dc.typeArticleen_US
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