A Novel Measured Function for MCDM Problem Based on Interval-Valued Intuitionistic Fuzzy Sets

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概要

• 論文の詳細を見る

• Several papers have presented measured function to handle multi-criteria fuzzy decision-making problems based on interval-valued intuitionistic fuzzy sets. However, in some cases, the proposed function cannot give sufficient information about alternatives. Consequently, in this paper, we will overcome previous insufficient problem and provide a novel accuracy function to measure the degree of the interval-valued intuitionistic fuzzy information. And a practical example has been provided to demonstrate our proposed approach. In addition, to make computing and ranking results easier and to increase the recruiting productivity, a computer-based interface system has been developed for decision makers to make decisions more efficiently.

• （社）電子情報通信学会の論文
• 2010-11-01

著者

• JULIAN Peterson

  Department of Traffic Science, Central Police University

• Hung Kuo-chen

  Department Of Logistics Management National Defense University

• Julian Peterson

  Department Of Traffic Science Central Police University

• Lin Kuo-ping

  Department Of Information Management Lunghwa University Of Science And Technology

• Tsai Yuan-cheng

  Department Of Marketing And Distribution Management Overseas Chinese University

関連論文

• Discussion on “A Fuzzy Method for Medical Diagnosis of Headache”
• Discussion on "A Fuzzy Method for Medical Diagnosis of Headache"
• A Novel Measured Function for MCDM Problem Based on Interval-Valued Intuitionistic Fuzzy Sets

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