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Unpaid Debt Management In Uncertainty

Author

Listed:
  • Casanovas Ramón, M.
  • Fernández Pascual, A.

    (Universitat de Barcelona)

Abstract

In any business sphere in which uncertainty is present use can be made of the theory of fuzzy sub-sets, expertons, algebra with intervals, etc. In this article we will be showing an application in uncertainty of Markov chains. As pointed out by Kaufmann and Gil Aluja, it is not strictly correct to speak about Markov chains in the field of uncertainty, because these have their origin in the stochastic field. Nonethe-less, uncertainty and randomness allow for certain complementing with regard to techniques and procedures, there-fore there can be no problem whatsoever, for transforming the sto-chastic nature of Markov chains in a sphere of uncertainty in that the principal difference will be that the sum of the levels of supposition do not necessarily have to be the unit (Gil and Kaufmann, 1995, p. 169-261).

Suggested Citation

  • Casanovas Ramón, M. & Fernández Pascual, A., 2002. "Unpaid Debt Management In Uncertainty," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 57-79, May.
    • Handle: RePEc:fzy:fuzeco:v:vii:y:2002:i:1:p:57-79
    as

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    More about this item

    Keywords

    unpaid debt management; Markov chains; Markov processes; Markov chains in uncertainty; expertons; fuzzy matrices.;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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