Group prioritization in the AHP by fuzzy preference programming method

Authors:
L. Mikhailov
Affiliations:
Department of Computation, UMIST, Sackville Street, PO Box 88, Manchester M60 1QD, UK
Venue:
Computers and Operations Research
Year:
2004

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Abstract

In this paper we propose a new group fuzzy preference programming (GFPP) method for deriving group priorities from crisp pairwise comparison judgements, provided by multiple decision makers. The assessment of the group priorities is formulated as a fuzzy linear programming problem, maximizing the group's overall satisfaction with the group solution. The GFPP method combines the group synthesis and prioritization stages into a coherent integrated framework, which does not need additional aggregation procedures. The method can easily deal with missing judgements and provides a meaningful indicator for measuring the level of group satisfaction and group consistency.