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A New Fuzzy TOPSIS Algorithm for MADM Based on Decision Maker's Subjective Preference

【摘要】:正 the exact value are in adequate to model real-life situation because lots of vague concepts and complex frequently represent in decision problems. And the decision maker's subjective preference affects the decision results directly. In this paper a new TOPSIS algorithm for multi-attribute decision-making is extended to fuzzy environment, a new fuzzy. TOPSIS algorithm that takes into the decision maker's subjective preference, is put forward. According to the new fuzzy TOPSIS. a closeness coefficient is defined to determine the ranking order of alternatives by calculating the fuzzy. Hamming distances to both the ideal solution and the negative ideal solution. At last. a numerical illustration is shown to prove the new method.

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