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Incomplete pairwise comparison and consistency optimization

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Author Info
Michele Fedrizzi () (DISA, University of Trento)
Silvio Giove () (Department of Applied Mathematics, University of Venice)

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Abstract

This paper proposes a new method for calculating the missing elements of an incomplete matrix of pairwise comparison values for a decision problem. The matrix is completed by minimizing a measure of global inconsistency, thus obtaining a matrix which is optimal from the point of view of consistency with respect to the available judgements. The optimal values are obtained by solving a linear system and unicity of the solution is proved under general assumptions. Some other methods proposed in the literature are discussed and a numerical example is presented.

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Publisher Info
Paper provided by Department of Applied Mathematics, University of Venice in its series Working Papers with number 144.

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Length: 20 pages
Date of creation: Nov 2006
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Publication status: Forthcoming in European Journal of Operational Research
Handle: RePEc:vnm:wpaper:144

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Related research
Keywords: consistency; pairwise comparison matrices;

Find related papers by JEL classification:
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Xu, Zeshui & Da, Qingli, 2005. "A least deviation method to obtain a priority vector of a fuzzy preference relation," European Journal of Operational Research, Elsevier, vol. 164(1), pages 206-216, July. [Downloadable!] (restricted)
  2. Fishburn, P.C., 1984. "SSB Utility theory: an economic perspective," Mathematical Social Sciences, Elsevier, vol. 8(1), pages 63-94, August. [Downloadable!] (restricted)
  3. Herrera-Viedma, E. & Herrera, F. & Chiclana, F. & Luque, M., 2004. "Some issues on consistency of fuzzy preference relations," European Journal of Operational Research, Elsevier, vol. 154(1), pages 98-109, April. [Downloadable!] (restricted)
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