DocumentCode :
3185742
Title :
Optimum decision-making of extended enterprise based on analytical hierarchy process and fuzzy comprehensive evaluation
Author :
Zhao, Feng ; Chen, Jinliang
Author_Institution :
Coll. of Arts, Xi´´an Univ. of Arch. & Tech, Xi´´an, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
2240
Lastpage :
2243
Abstract :
To solve multi-criteria decision making problem in selecting an extended enterprise of rapid extended manufacturing, the index system of comprehensive evaluation for extended enterprise was built. A new method was proposed using analytical hierarchy process and fuzzy comprehensive evaluation. The whole process of the method was introduced step by step. Firstly, the fuzzy judgment matrix was established based on analytical hierarchy process and the consistency of fuzzy judgment matrix were tested in the necessary and sufficient. Then synthetic priority weights of indicators were calculated. Secondly, fuzzy memberships of qualitative indicators were got by normalizing method, and fuzzy memberships of quantitative indicators were obtained by trapezoidal fuzzy number. Consequently, the fuzzy relational matrix of indicators was created. Finally, the evaluation result was gained according to model (∧, V).
Keywords :
decision making; manufacturing systems; matrix algebra; analytical hierarchy process; extended enterprise; extended manufacturing; fuzzy comprehensive evaluation; fuzzy judgment matrix; fuzzy membership; fuzzy relational matrix; index system; indicator matrix; multicriteria decision making problem; normalizing method; optimum decision making; qualitative indicator; quantitative indicator; synthetic priority weight; trapezoidal fuzzy number; Computational modeling; Decision making; Educational institutions; Indexes; Manufacturing; Mathematical model; Performance evaluation; analytical hierarchy process; fuzzy comprehensive evaluation; rapid extended manufacturing; trapezoidal fuzzy number;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6011220
Filename :
6011220
Link To Document :
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