DocumentCode
1560737
Title
A group-evaluation method based on AHP and theory of triangular fuzzy number
Author
Cao, Jim ; Zhou, Gengui ; Wu, Xiaojuan ; Li, Ping
Author_Institution
Inst. of Inf. Intelligence & Decision-Making Optimization, Zhejiang Univ. of Technol., Hangzhou, China
Volume
3
fYear
2004
Firstpage
2064
Abstract
In view of uncertainty degree of judgment in group-evaluation problem, a new method combined the analytic hierarchy process (AHP) with the basic theory of triangular fuzzy number was given in this paper. A real case study of personnel selection in Matlab environment demonstrated its application and examined its effectiveness. The use of this proposed method indicates that it is easier for the evaluation team not only to obtain impartial and reasonable resulting value, but also to arrive at a consensus decision. Moreover, the consistent degree of decision or opinion of each decision element from different expert can be showed clearly.
Keywords
decision making; fuzzy set theory; group theory; least squares approximations; mathematics computing; number theory; AHP; Matlab environment; analytic hierarchy process; consensus decision; decision element; group evaluation method; least squares approximations; personnel selection; triangular fuzzy number theory; Decision making; Fuzzy control; Industrial control; Information analysis; Least squares methods; Optimization methods; Personnel; Process control; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1341947
Filename
1341947
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