Paper Info
Title
Three-reference-point decision-making method with incomplete weight information considering independent and interactive characteristics.
Abstract
In this paper, we study a multistage risk decision-making method, considering three reference points and incomplete weight information with independent and interactive characteristics among criteria (stages). Considering the dimensions of the status quo, the minimum requirement, and the goal, the setting method for the three reference points is first proposed. Next, based on the principle of maximizing the ranking consistency, an optimization model is built to obtain the preference coefficients, which are used to aggregate the prospect values under the three reference points. Moreover, considering the incomplete weight information, a two-stage optimization method is proposed based on the concept of minimizing the distance between the real and optimal values. And optimization models are built to obtain incomplete weights with independent and interactive characteristics among criteria (stages). Finally, a numerical example and a method comparison illustrate the feasibility and validity of the proposed method.
Year
DOI
Venue
2019
10.1016/j.ins.2019.07.002
Information Sciences
Keywords
Field
DocType
Three reference points,Cloud model,Independent characteristic,Interactive characteristic,Multistage risk decision-making
Mathematical optimization,Ranking,Status quo,Artificial intelligence,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
503
0020-0255
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Wen Song145.13
Zhu Jian-jun2543.84