Abstract
Owing to the newly recognized nature of decision-making, the methodologies for supporting multiple criteria decision-making (MCDM) are emerging. We propose an interactive genetic algorithms (IGA) approach to MCDM. This IGA-based approach has some unique characteristics that make it suitable to be a core technology for MCDM. However, the inefficiency problem of fitness assignment by the user in IGA needs to be improved to make it feasible for MCDM. Hence, we develop 3 concepts to improve the IGA performance, and integrate them into our IGA-based approach. To demonstrate the applicability of the IGA-based approach, a decision-making example of designing a new product is presented.
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