Uniformity on the preference information on alternatives in multiple attribute decision making
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |
Pages | 697-702 |
Volume | 2 |
Publication status | Published - 2001 |
Publication series
Name | |
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Volume | 2 |
Conference
Title | Joint 9th IFSA World Congress and 20th NAFIPS International Conference |
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Place | Canada |
City | Vancouver, BC |
Period | 25 - 28 July 2001 |
Link(s)
Abstract
This paper investigates the multiple attribute decision making (MADM) problem with preference information on alternatives, in which multiple decision makers (DMs) can give their preference information in different representation forms. The following representation forms are provided for the DMs to express their preference information on alternatives, i.e., preference orderings, utility value vector, fuzzy preference relation, selected subset, fuzzy selected subset, normal preference relation, linguistic term vector, and pairwise comparison. Using the fuzzy set theory, these preference representation forms are uniformed and aggregated. To select the most acceptable alternative, the quantifier guided dominance degree (QGDD) and the quantifier guided non-dominance degree (QGNDD) for each alternative are calculated.
Citation Format(s)
Uniformity on the preference information on alternatives in multiple attribute decision making. / Zhang, Quan; Ma, Jian; Fan, Zhiping et al.
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. Vol. 2 2001. p. 697-702.
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. Vol. 2 2001. p. 697-702.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review