DocumentCode :
3136723
Title :
The Coordinated Decision Research Based on Fuzzy Theory and Its Intelligent Decision Support System
Author :
Wang, Aimin ; Zhang, Ruihong
Author_Institution :
Wuhan Univ. of Technol., Wuhan
fYear :
2007
fDate :
9-11 June 2007
Firstpage :
1
Lastpage :
6
Abstract :
Because different expert has discrepancy in decision-making process when handling the mutually interacting and restricting factors, and they have different "weight" in dealing with the factors. Usually the decisions from the expert are far from the concentrative decisions which can not guarantee this decision plan is the perfect plan. Based on the fuzzy mathematics theory in view of the multi-factors decision-making question, we should establish the coordinate theory and method which is decided by multi-experts to make the decision information to many policy makers. Moreover, we should use the measure to calculate various policy-making vectors with the consistency on the decision information collection through the consultative process in order to build up the comprehensive decision which is greatly influenced by the overwhelming majority decision-making opinion. This paper offers the computation process and the application example and designs the corresponding intelligent computer decision-making supporting system.
Keywords :
decision support systems; fuzzy set theory; coordinated decision; decision-making opinion; decision-making process; fuzzy mathematics theory; intelligent computer decision-making supporting system; policy-making vectors; Application software; Assembly; Computer science; Decision making; Decision support systems; Fuzzy systems; Information analysis; Information security; Intelligent systems; Mathematics; consistency; the coordinated decision; the decision support system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Systems and Service Management, 2007 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
1-4244-0885-7
Electronic_ISBN :
1-4244-0885-7
Type :
conf
DOI :
10.1109/ICSSSM.2007.4280187
Filename :
4280187
Link To Document :
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