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On Compatibility of Interval Fuzzy Preference Relations

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Abstract

This paper defines the concept of compatibility degree of two interval fuzzy preference relations, and gives a compatibility index of two interval fuzzy preference relations. It is proven that an interval fuzzy preference relation B and the synthetic interval fuzzy preference relation of interval fuzzy preference relations A 1,A 2,...,A s are of acceptable compatibility under the condition that the interval fuzzy preference relation B and each of the interval fuzzy preference relations A l,A 2,...,A s are of acceptable compatibility, and thus a theoretic basis has been developed for the application of the interval fuzzy preference relations in group decision making.

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References

  • Chiclana, F., F. Herrera, and E. Herrera-Viedma. (1998). “Integrating Three Representation Models in Fuzzy Multipurpose Decision Making Based on Fuzzy Preference Relations,” Fuzzy Sets and System 97, 33–48.

    Article  Google Scholar 

  • Fodor, J. and M. Roubens. (1994). Fuzzy Preference Modelling and Multicriteria Decision Support. Kluwer Academic Publishers: Dordrecht.

    Google Scholar 

  • Herrera, F., E. Herrera-Viedma, and J. L. Verdegay. (1995). “A Sequential Selection Process in Group Decision-Making with Linguistic Assessment,” Information Science 85, 223–239.

    Article  Google Scholar 

  • Herrera, F., E. Herrera-Viedma, and F. Chiclana. (2001). “Multiperson Decision-Making Based on Multiplicative Preference Relations,” European Journal of Operational Research 129, 372–385.

    Article  Google Scholar 

  • Kacprzyk, J. (1986). “Group Decision Making with a Fuzzy Linguistic Majority,” Fuzzy Sets and Systems 18, 105–118.

    Article  Google Scholar 

  • Kacprzyk, J. and M. Roubens. (1988). Non-Conventional Preference Relations in Decision-Making. Berlin: Springer.

    Google Scholar 

  • Lipovetsky, S., and W. Michael Conklin. (2002). “Robust Estimation of Priorities in the AHP,” European Journal of Operational Research 137, 110–122.

    Article  Google Scholar 

  • Nurmi, H. (1981). “Approaches to Collective Decision Making with Fuzzy Preference Relations,” Fuzzy Sets and System 6, 249–259.

    Google Scholar 

  • Orlovsky, S. A. (1978). “Decision-Making with a Fuzzy Preference Relation,” Fuzzy Sets and Systems 1, 155–167.

    Article  Google Scholar 

  • Ramanathan, E. and L. S. Ganesh. (1994). “Group Preference Aggregation Methods Employed in AHP: An Evaluation and an Intrinsic Process for Deriving Members' weightages,” European Journal of Operational Research 79, 249–265.

    Article  Google Scholar 

  • Roubens, M. (1989). “Some Properties of Choice Functions Based on Valued Binary Relations,” European Journal of Operational Research 40, 309–321.

    Article  Google Scholar 

  • Tanino, T. (1984). “Fuzzy Preference Orderings in Group Decision-Making,” Fuzzy Sets and Systems 12, 117–131.

    Google Scholar 

  • Tanino, T. (1988). “Fuzzy Preference Relations in Group Decision Making'', In J. Kacprzyk and M. Roubens (eds.), Non-Conventional Preference Relations in Decision-Making. Berlin: Springer, 54–71.

    Google Scholar 

  • Tanino, T. (1990). “On Group Decision-Making under Fuzzy Preferences'' In J. Kacprzyk, and M. Fedrizzi (eds.), Multiperson Decision-Making Using Fuzzy Sets and Possibility Theory. Dordrecht: Kluwer Academic Publishers, 172–185.

    Google Scholar 

  • Xu, Z. S. (1999). “Study on the Relation Between Two Classes of Scales in AHP,” Systems Engineering-Theory & Practice 19(7), 311–314.

    Google Scholar 

  • Xu, Z. S. (2001). “Algorithm for Priority of Fuzzy Complementary Judgement Matrix,” Journal of Systems Engineering 16(4), 311–314.

    Google Scholar 

  • Xu, Z. S., and Q. L. Da. (2002). “The Uncertain OWA Operator,” International Journal of Intelligent Systems 17, 569–575.

    Article  Google Scholar 

  • Xu, Z. S. (2003). “Two Methods for Ranking Alternatives in Group Decision-Making with Different Preference Information,” Information: An International Journal 6, 389–394.

    Google Scholar 

  • Xu, Z. S., Q. L. Da. (2003). “An Approach to Improving Consistency of Fuzzy Preference Matrix,” Fuzzy Optimization and Decision Making 2, 3–12.

    Article  Google Scholar 

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Xu, Z. On Compatibility of Interval Fuzzy Preference Relations. Fuzzy Optimization and Decision Making 3, 217–225 (2004). https://doi.org/10.1023/B:FODM.0000036864.33950.1b

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  • DOI: https://doi.org/10.1023/B:FODM.0000036864.33950.1b

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