| Summary: | 博士 === 國立中央大學 === 資訊管理研究所 === 89 === Owing to newly recognizing the nature of decision-making, methodologies of multiple criteria decision-making (MCDM) are emerging. After a literature review, it finds that researchers still meet with challenges on MCDM especially for complex multiple decision-making problems with unknown objective function. In this study, we propose a model with interactive genetic algorithms (IGA) to solve the problem. However, the inefficiency problem of IGA needs to be improved to make it feasible for the MCDM problem. Hence, we develop a fitness assignment strategy to improve the performance of the IGA-based system, and integrate them into our model. To verify the outstanding performance of the proposed model, we apply our model on an itinerary planning case. Experiment results show that the model perform as we expected.
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