Hesitant Fuzzy Linguistic Hamy Mean Aggregation Operators and Their Application to Linguistic Multiple Attribute Decision-Making

Rong Yuan; Pei Zheng; Liu Yi

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Hesitant Fuzzy Linguistic Hamy Mean Aggregation Operators and Their Application to Linguistic Multiple Attribute Decision-Making

机译：Hesitant Fuzzy Linguistic Hamy Mean Aggregation Operators and Their Application to Linguistic Multiple Attribute Decision-Making

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摘要

Linguistic aggregation operator is a paramount appliance to fix linguistic multiple attribute decision-making (MADM) issues. In the article, the Hamy mean (HM) operator is utilized to fuse hesitant fuzzy linguistic (HFL) information and several novel HFL aggregation operators including the hesitant fuzzy linguistic Hamy mean (HFLHM) operator, weighted hesitant fuzzy linguistic Hamy mean (WHFLHM) operator, hesitant fuzzy linguistic dual Hamy mean (HFLDHM) operator, and weighted hesitant fuzzy linguistic dual Hamy mean (WHFLDHM) operator are proposed. Besides, several paramount theorems and particular cases of these aggregation operators are investigated in detail, and then a novel MADM approach is presented by using the proposed aggregation operators. Ultimately, a practical example is utilized to manifest the effectiveness and practicability of the propounded method.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2020年第4期|3262618.1-3262618.22|共22页
作者
Rong Yuan; Pei Zheng; Liu Yi;
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作者单位

XiHua Univ, Sch Sci, Chengdu 610039, Peoples R China;

Neijiang Normal Univ, Data Recovery Key Lab Sichuan Prov, Neijiang 641000, Sichuan, Peoples R China|Neijiang Noraml Univ, Numer Simulat Key Lab Sichuan Prov, Neijiang 641000, Sichuan, Peoples R China;

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Hesitant Fuzzy Linguistic Hamy Mean Aggregation Operators and Their Application to Linguistic Multiple Attribute Decision-Making

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