Decision making with incomplete interval multiplicative preference relations based on stochastic program and interval category

作者: Jiuying Dong , Shuping Wan , Huwei Yuan

DOI: 10.1016/J.INS.2021.03.005

关键词:

摘要: Abstract Interval multiplicative preference relations (IMPRs) have been widely used in decision making for their ability to efficiently express the uncertainty of information. This paper investigates with incomplete IMPRs. First, a new consistency index IMPR is defined. By minimizing index, missing values an can be estimated. Subsequently, considering risk attitude decision-makers (DMs), two optimization models are constructed obtain most pessimistic and optimistic acceptably consistent IMPRs, respectively. Based on triangular distribution intervals, stochastic programming model built derive priority weights from IMPR. Thus, method put forward individual To reach maximum group support degree, 0–1 mixed integer established determine DMs’ Considering category information intervals collective adjusted The IMPRs integrated into ranking alternatives generated by Two real-life examples demonstrated validate proposed methods. A system based methods designed.

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