Supermarket fresh food suppliers evaluation and selection with multigranularity unbalanced hesitant fuzzy linguistic information based on prospect theory and evidential theory

被引：11

作者：

Rong, Lili ^{[1
]}

Wang, Lei ^{[2
]}

Liu, Peide ^{[3
]}

机构：

[1] Shandong Management Univ, Sch Business, Jinan, Shandong, Peoples R China

[2] Shandong Univ Finance & Econ, Sch Int Educ, Jinan, Shandong, Peoples R China

[3] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 250014, Shandong, Peoples R China

来源：

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2022年 / 37卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Dempster-Shafer evidence theory; multigranularity hesitant fuzzy linguistic term set; multiple attribute group decision-making; prospect theory; unbalanced linguistic term set; MULTICRITERIA DECISION-MAKING; AGGREGATION OPERATORS; REGRET THEORY; MODEL; REPRESENTATION; METHODOLOGY; DEAL; SETS;

D O I：

10.1002/int.22761

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The selection and evaluation of fresh food suppliers is the primary problem for supermarkets. This problem is solved by a new multiattribute group decision-making method with multigranular unbalanced hesitant fuzzy linguistic term set, which is based on prospect theory and evidential theory. Then, a novel supermarket fresh food supplier evaluation index is constructed with 5 elements and 15 indicators. To get the reasonable weights, best-worst method, criteria importance through intercriteria correlation method, and game theory are applied. Moreover, three methods are compared to prove our proposed method's validity and superiority. Finally, this paper offers analysis and suggestions based on the results from strategy level and statics level, respectively.

引用

页码：1931 / 1971

页数：41

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