A multiple criteria group decision making model with entropy weight in an intuitionistic fuzzy environment

Chia Chang Hung, Liang-Hsuan Chen

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

The theory of intuitionistic fuzzy sets (IFSs) is well-suited to dealing with vagueness and hesitancy. In this study, we propose a new fuzzy TOPSIS group decision making model using entropy weight for dealing with multiple criteria decision making (MCDM) problems in an intuitionistic fuzzy environment. This model can measure the degrees of satisfaction and dissatisfaction of each alternative evaluated across a set of criteria. To obtain the weighted fuzzy decision matrix, we employ the concept of Shannon's entropy to calculate the criteria weights. An investment example is used to illustrate the application of the proposed model.

原文English
主出版物標題Intelligent Automation and Computer Engineering
頁面17-26
頁數10
DOIs
出版狀態Published - 2010 十二月 1
事件International Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009 - Hong Kong, Hong Kong
持續時間: 2009 三月 182009 三月 20

出版系列

名字Lecture Notes in Electrical Engineering
52 LNEE
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

OtherInternational Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009
國家Hong Kong
城市Hong Kong
期間09-03-1809-03-20

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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