Title of article :
A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design
Author/Authors :
Qi ، نويسنده , , Jin and Hu، نويسنده , , Jie and Peng، نويسنده , , Yinghong and Wang، نويسنده , , Weiming and Zhang، نويسنده , , Zhenfei، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
10
From page :
10357
To page :
10366
Abstract :
In current practice, the design is still based on the sequential design methodology, which makes the process or manufacture information not considered at the preliminary design stage. In addition, the quality of design and the time to perform them are largely dependent on the experience of the engineers. Case-based design is an intelligent method which involves retrieving the most similar previous cases to provide a solution of a new decision problem. Therefore, case retrieval is the most crucial process in case-based design. However, few studies attempt to research case retrieval in concurrent design. This paper proposes a hybridization of fuzzy similarity measurement (FSM) and fuzzy multi-criteria decision making (FMCDM) for case retrieval from historical cases for concurrent design. In FSM stage, triangular function is used to represent the different fuzzy requirements, respectively, and meanwhile calculate the similarity. Less valuable case is filtered out by defined threshold. Then FMCDM is developed to evaluate the most similar cases in terms of product criteria to pick out the most suitable case. Furthermore, the FSM–FMCDM model is applied to power transformer concurrent design, and the experiment indicates that the FSM–FMCDM retrieval is more reasonable than the prior SM only case retrieval.
Keywords :
concurrent design , Fuzzy multi-criteria decision making , Case retrieval , Fuzzy similarity measurement
Journal title :
Expert Systems with Applications
Serial Year :
2009
Journal title :
Expert Systems with Applications
Record number :
2346801
Link To Document :
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