A general multiple attribute decision-making approach for integrating subjective preferences and objective information

  • Authors:

  • Ying-Ming Wang;Celik Parkan

  • Affiliations:

  • School of Public Administration, Fuzhou University, Fuzhou 350002, PR China and Center for Accounting Studies of Xiamen University, Xiamen, Fujian, 361005, PR China;Department of Management, C.W. Post Campus, Long Island University, 720 Northern Blvd., Brookville, NY 11548, USA

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.21

Visualization

Abstract

A general multiple attribute decision-making (MADM) approach is proposed to integrate subjective preferences and objective information and to assess the relative weights of attributes, where subjective preferences are expressed either by a fuzzy preference relation on decision alternatives or by a pairwise comparison matrix on the relative weights of attributes or by both of them and objective information is expressed by a decision matrix. Three special cases of the approach are investigated, which are the weighted least deviation norm (WLDN), the weighted least-square deviation norm (WLSDN) and the weighted minimax deviation norm (WMDN) approaches. The extension of the general approach to group decision-making and the choice of decision parameters are also discussed. A numerical example is examined to show the applications of the proposed MADM approaches.