当前位置: X-MOL 学术Int. J. Intell. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Supermarket fresh food suppliers evaluation and selection with multigranularity unbalanced hesitant fuzzy linguistic information based on prospect theory and evidential theory
International Journal of Intelligent Systems ( IF 5.0 ) Pub Date : 2021-11-24 , DOI: 10.1002/int.22761
Lili Rong 1 , Lei Wang 2 , Peide Liu 3
Affiliation  

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.

中文翻译:

基于前景理论和证据理论的多粒度不平衡犹豫模糊语言信息超市生鲜供应商评价与选择

生鲜供应商的选择与评价是超市面临的首要问题。该问题采用基于前景理论和证据理论的多粒度不平衡犹豫模糊语言术语集的多属性群决策新方法来解决。然后,构建了一个包含5个要素、15个指标的新型超市生鲜供应商评价指标。为了获得合理的权重,应用了最佳-最差方法、通过标准间相关方法的标准重要性和博弈论。此外,比较了三种方法,以证明我们提出的方法的有效性和优越性。最后,本文分别基于策略层面和静态层面的研究结果提出分析和建议。
更新日期:2021-11-24
down
wechat
bug