A constraint-based approach to uncertain and imprecise reasoning. Application to expert systems

  • T. Pontet
Contributed Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 548)


The methodology by constraints seems to be very general. It is a way to define deduction methods based on the search of particular results (bottom up method) instead of purely theoretical aspects whose results are subsequently verified (top down).

An application to expert rules has been presented. It is worthnoting that we could do the most exhaustive exploration as possible (by using all the known formulations of rules and all the “interesting” constraints) and, so, make an inventory of the advantages and disadvantages (which depends on their use) of each type of rules for each constraint, and provide, in this way, a guide for the choice of methods.


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  1. Dubois, D. and Prade, H. A typology of fuzzy “if... then...” rules. In: Proceedings of the congress the coming of age of fuzzy logic (3rd IFSA congress). Washington: 1989. p. 782–785Google Scholar
  2. Dubois, D. and Prade, H. Gradual inference rules in approximate reasoning. In: Advances in approximate reasoning based on fuzzy logic. Toulouse: IRIT, 1990. 54 p. Rapport IRIT/90-6/RGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • T. Pontet
    • 1
  1. 1.Département InformatiqueL.I.S.I./E.C.R.I.N. INSAVilleurbanne cedex

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