Grey relation-projection pursuit dynamic cluster method for multiattribute decision making assessment with trapezoidal intuitionistic fuzzy numbers - 文章详情页

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摘要：

Aiming　at　unknown　attribute　weights　and　attribute　values　which　are　expressed　in　trapezoidal　intuitionistic　fuzzy　numbers,　a　gray　relation　projection　pursuit　dynamic　cluster　method　is　proposed.　This　method　improves　grey　correlation　projection　method(GRPM)　under　the　comprehensive　consideration　of　preferential　membership　and　grey　correlation,　combines　projection　pursuit　dynamic　cluster(PPDC)　method　and　the　grey　relation　projection　method,　and　constructs　the　projection　objective　function.　The　firefly　algorithm(FA)　is　adopted　to　optimize　the　objective　function　of　projection　for　obtaining　the　best　projection　direction　of　grey　correlation　projection　values,　and　the　grey　correlation　projection　values　are　evaluated,　which　are　applied　to　classify,　rank　and　prefer　the　alternatives.　Results　of　the　application　examples　verify　the　effectiveness　and　feasibility　of　the　proposed　method.　©,　2015,　Northeast　University.　All　right　reserved.

关键词：

Decision making Fuzzy rules Optimization

作者机构：

[ 1 ] [Gong, Yi-Cheng]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Gong, Yi-Cheng]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Ren, Zhong-Yu]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Ren, Zhong-Yu]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
[ 5 ] [Ding, Fei]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
[ 6 ] [Ding, Fei]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
[ 7 ] [Lan, Shuang-Shuang]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
[ 8 ] [Lan, Shuang-Shuang]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
[ 9 ] [Wang, Hao]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
[ 10 ] [Wang, Hao]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
[ 11 ] [Tang, Ying]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
[ 12 ] [Tang, Ying]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
[ 13 ] [Qin, Can]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
[ 14 ] [Qin, Can]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China

通讯作者信息：

[gong, yi-cheng]key laboratory of beijing for water quality science and water environment recovery engineering, beijing university of technology, beijing; 100124, china;;[gong, yi-cheng]college of architecture and civil engineering, beijing university of technology, beijing; 100124, china

电子邮件地址：

gongyc@emails.bjut.edu.cn

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