Dual hesitant bipolar fuzzy hamacher aggregation operators and their applications to multiple attribute decision making

被引：43

作者：

Gao, Hui ^{[1
]}

Lu, Mao ^{[1
]}

Wei, Yu ^{[2
]}

机构：

[1] Sichuan Normal Univ, Sch Business, Chengdu 610101, Sichuan, Peoples R China

[2] Yunnan Univ Finance & Econ, Sch Finance, Kunming, Yunnan, Peoples R China

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2019年 / 37卷 / 04期

关键词：

Multiple attribute decision making (MADM); bipolar fuzzy set; dual hesitant bipolar fuzzy set; dual hesitant bipolar fuzzy Hamacherhybrid average (DHBFHHA) operator; dual hesitant bipolar fuzzy Hamacher hybrid geometric (DHBFHHG) operator; SIMILARITY MEASURES; MEAN OPERATORS; TODIM METHOD; SETS; MODELS;

D O I：

10.3233/JIFS-18266

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we investigate the multiple attribute decision making problems based on the Hamacher aggregation operators with dual hesitant bipolar fuzzy information. Then, motivated by the idea of Hamacher operations, we have developed some Hamacher aggregation operators for aggregating dual hesitant bipolar fuzzy information: dual hesitant bipolar fuzzy Hamacher weighted average (DHBFHWA) operator, dual hesitant bipolar fuzzy Hamacher weighted geometric (DHBFHWG) operator, dual hesitant bipolar fuzzy Hamacher ordered weighted average (DHBFHOWA) operator, dual hesitant bipolar fuzzy Hamacher ordered weighted geometric (DHBFHOWG) operator, dual hesitant bipolar fuzzy Hamacher hybrid average (DHBFHHA) operator and dual hesitant bipolar fuzzy Hamacher hybrid geometric (DHBFHHG) operator. Then, we have utilized these operators to develop some approaches to solve the dual hesitant bipolar fuzzy multiple attribute decision making problems. Finally, a real-world example is then analyzed to illustrate the relevance and effectiveness of the proposed methodology.

引用

页码：5755 / 5766

页数：12

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