DocumentCode :
536154
Title :
An Approach to Concept Evaluation of Mechanical System Using Vague Sets
Author :
Bo, Rui-Feng
Author_Institution :
Key Lab. for AMT of Shanxi Province, North Univ. of China, Taiyuan, China
Volume :
2
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
499
Lastpage :
503
Abstract :
To deal with the fuzzy information existing in the process of concept evaluation, vague sets theory is introduced in concept evaluation of mechanical design and a vague sets based evaluation model is structured in this paper. Under this model, decision matrix is converted into objective-grade-membership matrix firstly. Then by computing the sets of objectives being in favor, against and neutral, the vague evaluation is acquired for each alternate, in which objective value is integrated with the corresponding weight to generate the vague value using the objective-grade-membership matrix. Finally an improved score function is adopted to rank all the concepts and the best one is selected. An example shows the effectiveness of this proposed approach. Compared with the fuzzy set based evaluation method, this proposed model considers both the weight and the decision value of each objective, and has fairly strong and flexible intuition expression ability for handling indefinite data. It is concluded that the model developed is more suitable to be used for concept evaluation in the imprecise and uncertain design environment.
Keywords :
design engineering; fuzzy set theory; matrix algebra; mechanical engineering; conceptual design; decision matrix; fuzzy information; fuzzy set-based evaluation method; mechanical design; objective grade membership matrix; vague sets theory; Computational modeling; Decision making; Fuzzy sets; Kinematics; Mechanical systems; Upper bound; concept evaluation; conceptual design; mechanical system; vague sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.224
Filename :
5657073
Link To Document :
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