Multiple criteria decision making based on Bonferroni means with hesitant fuzzy linguistic information
Soft ComputingPublished 8 June 2016
Xunjie Gou, Zeshui Xu, Huchang Liao
Citations205
SJR quartileQ2
SJR score0.67
SNIP1.04
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TL;DR
In this paper, two aggregation operators for hesitant fuzzy linguistic term sets are introduced, which are the hesitation fuzzy linguistic Bonferroni mean operator and the weighted hesitant fuzzy linguistics Bonferronsi mean operators.
Abstract
In recent decades, different extensional forms of fuzzy sets have been developed. However, these multitudinous fuzzy sets are unable to deal with quantitative information better. Motivated by fuzzy linguistic approach and hesitant fuzzy sets, the hesitant fuzzy linguistic term set was introduced and it is a more reasonable set to deal with quantitative information. During the process of multiple criteria decision making, it is necessary to propose some aggregation operators to handle hesitant fuzzy linguistic information. In this paper, two aggregation operators for hesitant fuzzy linguistic term sets are introduced, which are the hesitant fuzzy linguistic Bonferroni mean operator and the weighted hesitant fuzzy linguistic Bonferroni mean operator. Correspondingly, several properties of these two aggregation operators are discussed. Finally, a practical case is shown in order to express the application of these two aggregation operators. This case mainly discusses how to choose the best hospital about conducting the whole society resource management research included in a wisdom medical health system.
Keywords
Decision Sciences
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