| Summary: | 博士 === 義守大學 === 資訊工程學系博士班 === 99 === Decision or selection making is a vital part of daily life; of which the major concern is that almost all issues requiring decisions have multiple, often conflicting, criteria. In reality, there is no avoidance of the coexistence of qualitative and quantitative data, and the data are often full of complex, fuzziness and uncertainty. Due to this, it is difficult to make a proper selection or decision based on individual subjective judgment. With closer cooperation between the decision-makers and schemers, the actual demands of problems can be realized.
Therefore, the thesis proposes multi-criteria decision making methods and fuzzy multi-criteria decision making methods to evaluate decision problems in various applications. The methodologies in the thesis include Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE), Consistent Fuzzy Preference Relations, Incomplete Linguistic Preference Relations and Fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (Fuzzy VIKOR). The methodologies have be analyzed and compared each other with two empirical cases in web portals and healthcare organizations and several authenticated examples.
These methodologies can properly mediate the conflicts and contradictions during the decision-making processes. The thesis proposes an objective evaluation suggestions to slove the traditional decision-making problems effectively, such as: the lack of flexibility, computational complexity and inconsistent. The results provide useful suggestions for both researchers and decision-makers in every fields.
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