Model-based evaluation for online shopping platform with probabilistic double hierarchy linguistic CODAS method

被引：60
作者：
Lei, Fan [1 ]
Wei, Guiwu [1 ,2 ]
Chen, Xudong [3 ]
机构：
[1] Sichuan Normal Univ, Sch Math Sci, Chengdu 610066, Peoples R China
[2] Sichuan Normal Univ, Sch Business, Chengdu, Peoples R China
[3] Southwestern Univ Finance & Econ, Sch Accounting, Chengdu 610074, Peoples R China
来源：
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2021年 / 36卷 / 09期
关键词：
CODAS method; IDOCRIW method; multiple attribute group decision making; probabilistic double hierarchy term set; the evaluation model of online shopping platform; GROUP DECISION-MAKING; TERM SETS; SELECTION; ALTERNATIVES; INFORMATION; ALGORITHMS; CRITERIA;
D O I：
10.1002/int.22514
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the rapid advancement of Internet technology, the number of online shopping platforms has been increasing. Poor online shopping platform causes all sorts of trouble among the people despite convenience. A comprehensive and reasonable evaluation of online shopping platforms is of great significance. Therefore, this study establishes an online shopping platform evaluation model based on probability double linguistic-combinative distance-based assessment (PDHL-CODAS). First, the notion of probabilistic double hierarchy linguistic term sets (PDHLTSs) is reviewed. Then the distance formulas of PDHLTS are defined. Thereafter, cumulative prospect theory is used to generate the cumulative weight of probabilistic double hierarchy linguistic information. Additionally, the integrated determination of objective criteria weights method is introduced to calculate the objective weight. PDHL-CODAS method is established and applied to the evaluation of online shopping platforms. Finally, unlike the available probabilistic double hierarchy linguistic multiple attribute decision making methods, the defined method is scientifically effective.
引用
收藏
页码：5339 / 5358
页数：20
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