An application of soft computing technique in group decision making under interval-valued intuitionistic fuzzy environment
作者： Zhongliang Yue , Yuying Jia
DOI: 10.1016/J.ASOC.2012.11.045
关键词: TOPSIS 、 Weighted product model 、 Decision rule 、 Decision matrix 、 Linear partial information 、 Mathematical optimization 、 Optimal decision 、 Weighted sum model 、 Mathematics 、 Decision tree
摘要: In this paper, we investigate the group decision making problem, in which each maker (DM) provides his/her preferences over alternatives with respect to attributes interval-valued intuitionistic fuzzy number. To determine weights of DMs, inspired by idea TOPSIS technique, combining an optimistic coefficient, first define a positive ideal as average all individual decisions and three negative decisions, have maximum separations from decision. This method is suitable for cautious (avoiding risk) decision, since can effectively avoid risk. By employing derived aggregate into collective After that, attribute values alternative overall evaluation alternative. Then rank according their score accuracy degree select most desirable one. We compare model other methods illustrate numerical example sensitivity analysis about coefficient.
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