A Markov chain approximation to multi-stage interactive group decision-making method based on interval fuzzy number
作者： Shenghai Zhou , Jingcheng Yang , Yishan Ding , Xuanhua Xu
DOI: 10.1007/S00500-015-1973-1
关键词: Markov chain 、 Interval (mathematics) 、 Partially observable Markov decision process 、 Markov model 、 Mathematical optimization 、 Variable-order Markov model 、 Stopping time 、 Fuzzy number 、 Mathematics 、 Group decision-making
摘要: Aiming at the multi-stage group decision-making problem that each decision-maker makes decision with interval fuzzy number, this paper proposed a Markov chain approximation to interactive method. First, development of process is based on some assumptions. Based these assumptions, we define alternative conflict degree and determine threshold using numerical simulation. Then, can obtain stopping time process. Second, rank alternatives without calculating weights group, which an original perspective in field. Finally, analysis given illustrate effectiveness method proposed.
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