Journal
NEURAL COMPUTING & APPLICATIONS
Volume 19, Issue 1, Pages 91-102Publisher
SPRINGER
DOI: 10.1007/s00521-009-0260-4
Keywords
Multiple criteria decision making; Benefit criteria; Cost criteria; TOPSIS; Artificial neural network; Minkowski distance
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Multiple criteria decision making (MCDM) is an approach to rank the alternatives with respect to the different attributes. Several MCDM approaches were used to select the best alternatives of meta-heuristic modeling under the soft-computing domain where the true best alternative is not known. Alternatives are artificial neural network models, selection of which is difficult based on many conflicting performance measures. This paper addresses two new methods for MCDM, using the concept of Minkowski distance and based on technique for order preference by similarity to ideal solution philosophy. The performances of these two methods are compared with four other methods considering real-life data and simulated experiments.
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