期刊
SOFT COMPUTING
卷 21, 期 21, 页码 6515-6529出版社
SPRINGER
DOI: 10.1007/s00500-016-2211-1
关键词
Hesitant fuzzy linguistic term set; Aggregation operators; Hesitant fuzzy linguistic Bonferroni mean; Multiple criteria decision making
资金
- National Natural Science Foundation of China [61273209, 71571123, 71501135]
- Central University Basic Scientific Research Business Expenses Project [skgt201501, skqy201649]
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.
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