A two-sided matching decision method of product and service with probabilistic linguistic term set and improved TODIM

被引：0
|
作者：
Zhao J.-H. [1 ]
Zhang Y. [1 ]
Lin J. [2 ]
机构：
[1] Business School, University of Shanghai for Science and Technology, Shanghai
[2] School of Economics and Management, Tongji University, Shanghai
来源：
Kongzhi yu Juece/Control and Decision | 2023年 / 38卷 / 04期
关键词：
BWM; DEMATEL; new energy vehicle; probabilistic linguistic term sets; produce service scheme; TODIM; two-sided matching;
D O I：
10.13195/j.kzyjc.2021.1729
中图分类号：
学科分类号：
摘要：
A two-sided matching method with probabilistic linguistic term sets is proposed based on the BWM (best-worst method), the DEMATEL (decision making trial and evaluation laboratory), and the TODIM, to solve the product service modules matching problem with probabilistic language information considering its interaction and the psychological behavior of decision makers. Firstly, the weight of modules is determined using the BWM and the DEMATEL with probabilistic linguistic term sets. Then, the total dominance degree of product service modules is calculated based on the TODIM to obtain the satisfied matrix. Furthermore, a multi-objective optimization model is constructed to maximize the utility of products and services, which is converted into a single-objective model using the linear weighting method. Finally, an example of the new energy vehicle is provided to prove the effectiveness and feasibility of the proposed method, providing a new direction for the integrated development of new energy vehicle products and services. © 2023 Northeast University. All rights reserved.
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页码：1119 / 1128
页数：9
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