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• W2810585412 abstract "The hesitant fuzzy linguistic term sets can retain the completeness of linguistic information elicitation by assigning a set of possible linguistic terms to a qualitative variable. However, sometimes experts cannot make sure that the objects attain these possible linguistic terms but only provide t he degrees of confidence to express their hesitant cognition. Given that the interval numbers can denote the possible membership degrees that an object belongs to a set, it is suitable and convenient to provide an interval-valued index to measure the degree of a linguistic variable to a given hesitant fuzzy linguistic term set. Inspired by this idea, we introduce the concept of interval-valued 2-tuple hesitant fuzzy linguistic term set (IV2THFLTS) based on the interval number and the hesitant fuzzy linguistic term set. Then, we define some interval-valued 2-tuple hesitant fuzzy linguistic aggregation operators. Afterwards, to overcome the instability of subjective weights, we propose a method to compute the weights of attributes. For the convenience of application, a method is given to solve the multiple attribute decision making problems with IV2THFLTSs. Finally, a case study is carried out to validate the proposed method, and some comparisons with other methods are given to show the advantages of the proposed method." @default.
• W2810585412 created "2018-07-10" @default.
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• W2810585412 date "2018-06-22" @default.
• W2810585412 modified "2023-09-27" @default.
• W2810585412 title "Interval-valued 2-tuple hesitant fuzzy linguistic term set and its application in multiple attribute decision making" @default.
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• W2810585412 doi "https://doi.org/10.3233/jifs-171967" @default.
• W2810585412 hasPublicationYear "2018" @default.
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