The intuitionistic fuzzy concept-oriented three-way decision model

被引:30
|
作者
Dai, Jianhua [1 ,2 ,3 ]
Chen, Tao [1 ,2 ]
Zhang, Kai [3 ]
机构
[1] Hunan Normal Univ, Coll Informat Sci & Engn, Changsha 410081, Hunan, Peoples R China
[2] Hunan Normal Univ, Hunan Prov Lab Intelligent Comp & Language Informa, Changsha 410081, Hunan, Peoples R China
[3] Hunan Normal Univ, Sch Math & Stat, Minist Educ, Key Lab Comp & Stochast Math, Changsha 410081, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Three-way decision; Intuitionistic fuzzy concept; Intuitionistic fuzzy similarity; Loss function; Ranking; THEORETIC ROUGH SET; MAKING METHOD; SUPPLIER SELECTION; INFORMATION; RANKING;
D O I
10.1016/j.ins.2022.11.017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, some researchers have explored three-way decision models in the fuzzy multi -criteria environments from the perspective of criterion fuzzy concept. The main character-istics of these models include the subjective preference of decision-maker for criteria and the evaluation value information system provided by decision-maker. However, the criterion fuzzy concept only considers the decision-maker's membership preference to each criterion, and ignores the decision-maker's non-membership preference to each crite-rion. In view of this, this paper further proposes a new criterion fuzzy concept, namely the intuitionistic fuzzy concept, to express decision-maker's preference for each criterion. At the same time, we build an intuitionistic fuzzy concept-oriented three-way decision model to solve the ranking and classification problem in the intuitionistic fuzzy multi-criteria environments with decision-maker's preference. Firstly, based on the defined intuitionistic fuzzy concept, we construct a new intuitionistic fuzzy loss function model. Meanwhile, using intuitionistic fuzzy similarity, we propose a new conditional probability calculation method to express the correlation degree between the intuitionistic fuzzy concept and alternative's evaluation values. Secondly, we introduce three decision-making perspectives from the membership degree and non-membership degree of expected loss to obtain the final three-way classification scheme. Moreover, by combining the thresholds of the posi-tive and negative perspectives, we obtain the comprehensive thresholds of the comprehen-sive perspective, which can be used to rank all alternatives. Finally, a supplier selection problem is used to verify the feasibility and superiority of the model, and six data sets are used to verify the applicability of the model.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:52 / 83
页数:32
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