Group decision making methods based on intuitionistic fuzzy soft matrices

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• 作者：Junjun Mao^a ; ^b ; ^c ; ^{maojunjunuh@gmail.com} ; Dengbao Yao^a ; ^b ; ¹ ; Cuicui Wang^a ; ^b
• 关键词：Soft set theory ; Decision making ; IFSM ; Level soft set ; Aggregation ; Algorithm
• 刊名：Applied Mathematical Modelling
• 出版年：2013
• 出版时间：1 May, 2013
• 年：2013
• 卷：37
• 期：9
• 页码：6425-6436
• 全文大小：225 K

文摘

Soft set theory was originally proposed by Molodtsov as a general mathematical tool for dealing with uncertainty in 1999. Recently, researches of decision making based on soft sets have got some progress, but few people consider multi-experts situation. As such, this paper discusses multi-experts group decision making problems. Firstly, we give a concept of intuitionistic fuzzy soft matrix (IFSM) and prove some relevant properties of IFSM. Then, an adjustable approach is presented by means of median level soft set and p-quantile level soft set for dealing with decision making problems based on IFSM. Thirdly, we study aggregation methods of IFSM, give two kinds of aggregation operators and methods that how to determine experts¡¯ weights under different situation with programming models, four corresponding algorithms have been proposed, too. Finally, a practical example has been demonstrated the reasonability and efficiency of these new algorithms.