Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment

  • Authors:

  • Ming-Shin Kuo;Gwo-Hshiung Tzeng;Wen-Chih Huang

  • Affiliations:

  • Department of River and Harbor Engineering, National Taiwan Ocean University, P.O. Box 7-630 Keelung, Keelung 20299, Taiwan;Department of Business Administration, Kainan University, No.1, Kainan Road, Luchu, Taoyuan County 338, Taiwan and Institute of Management of Technology, National Chiao Tung University, Ta-Hsuch R ...;Department of River and Harbor Engineering, National Taiwan Ocean University, P.O. Box 7-107 Keelung, Keelung 20299, Taiwan

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 2007

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Abstract

Decision-making problems (location selection) often involve a complex decision-making process in which multiple requirements and uncertain conditions have to be taken into consideration simultaneously. In evaluating the suitability of alternatives, quantitative/qualitative assessments are often required to deal with uncertainty, subjectiveness and imprecise data, which are best represented with fuzzy data. This paper presents a new method of analysis of multicriteria based on the incorporated efficient fuzzy model and concepts of positive ideal and negative ideal points to solve decision-making problems with multi-judges and multicriteria in real-life situations. As a result, effective decisions can be made on the basis of consistent evaluation results. Finally, this paper uses a numerical example of location selection to demonstrate the applicability of this method, with its simplicity in both concept and computation. The results show that this method can be implemented as an effective decision aid in selecting location or decision-making problems.