An enhanced method and its application for fuzzy multi-criteria decision making based on vague sets

  • Authors:

  • Kuo-Chen Hung;Gino K. Yang;Peter Chu;Warren Tsu-huei Jin

  • Affiliations:

  • Department of Logistics Management, National Defense University, No. 70, Sec. 2, Jhongyang N. Road, Beitou District, Taipei City 112, Taiwan, ROC;Department of Logistics Management, National Defense University, No. 70, Sec. 2, Jhongyang N. Road, Beitou District, Taipei City 112, Taiwan, ROC;Department of Traffic Science, Central Police University, No. 56, Shujen Road, Takang Village, Kueishan Hsiang, Taoyuan County, Taiwan, ROC;Defense Language Institute, No. 70, Sec. 2, Jhongyang N. Road, Beitou District, Taipei City 112, Taiwan, ROC

  • Venue:
  • Computer-Aided Design
  • Year:
  • 2008

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Abstract

Ye [Ye Jun. Improved method of multicriteria fuzzy decision making based on vague sets. Computer-Aid Design 2007;39:164-9] presented an improved method to handle multi-criteria fuzzy decision-making problems based on vague set theory. He/She provided some functions to measure the degree of suitability of each alternative with respect to a set of criteria presented by vague values. However, in some cases, these functions do not give sufficient information about alternatives. Therefore, in this paper, an enhanced method is provided to measure the accuracy membership of each alternative so as to give additional information for the decision maker. In addition, to making computing and ranking results easier and to increase the recruiting productivity, a computer-based decision-support system is also developed, which may help to make a decision more efficiently.