Paper Info
Title
Parting curve selection and evaluation using an extension of fuzzy MCDM approach
Abstract
Parting curve selection and evaluation plays an important role in mold design. Multiple criteria decision-making (MCDM) is an effective tool for evaluating and ranking problems involving multiple criteria. In order to select suitable parting curve, several criteria need to be taken into account. Therefore, this paper proposes an extension of fuzzy MCDM approach to solve parting curve selection problem. In the proposed model, the ratings of alternatives and importance weights of criteria for parting curve selection are expressed in linguistic terms. The membership functions of the final fuzzy evaluation value in the proposed model are developed based on the linguistic expressions. To make the procedure easier and more practical, the normalized weighted ratings are defuzzified into crisp values by using a new maximizing set and minimizing set ranking approach to determine the ranking order of alternatives. An example of parting curve evaluation and selection is given. The results show that the proposed approach is very effective in selecting the optimal parting curve for the molded part. Finally, this paper compares the proposed approach with another fuzzy MCDM approach to demonstrate its advantages and applicability.
Year
DOI
Venue
2013
10.1016/j.asoc.2012.12.021
Appl. Soft Comput.
Keywords
Field
DocType
ranking approach,optimal parting curve,suitable parting curve,curve evaluation,multiple criteria decision-making,curve selection problem,fuzzy mcdm approach,curve selection,mcdm
Mathematical optimization,Multiple criteria,Multiple-criteria decision analysis,Normalization (statistics),Ranking fuzzy numbers,Expression (mathematics),Ranking,Fuzzy logic,Mathematics,Fuzzy mcdm
Journal
Volume
Issue
ISSN
13
4
1568-4946
Citations 
PageRank 
References 
3
0.39
17
Authors
5
Name
Order
Citations
PageRank
Nguyen Huu Quang180.83
Vincent F. Yu242427.32
Alan C. Lin3304.57
Luu Quoc Dat4805.75
Shuo-Yan Chou553748.50