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  • 1.
    Doherty, Patrick
    et al.
    Linköpings universitet, Tekniska högskolan.
    Driankov, Dimiter
    Linköpings universitet, Tekniska högskolan.
    A non-monotonic fuzzy logic.1991In: International Fuzzy Systems Association, Fourth World Congress,1991, 1991Conference paper (Refereed)
  • 2.
    Doherty, Patrick
    et al.
    Linköpings universitet, KPLAB - Laboratoriet för kunskapsbearbetning.
    Driankov, Dimiter
    Linköpings universitet, Tekniska högskolan.
    Nonmonotonicity, fuzziness, and multi-values.1993In: Fuzzy Logic: State of the Art. Series D: System Theory, Knowledge Engineering and Problem Solving. / [ed] R. Lowen and M. Roubens, Dordrecht ; Boston: Kluwer Academic Publishers , 1993Chapter in book (Other academic)
    Abstract [en]

      

  • 3.
    Doherty, Patrick
    et al.
    Linköpings universitet, Tekniska högskolan.
    Driankov, Dimiter
    Linköpings universitet, Tekniska högskolan.
    Hellendoorn, H.
    Fuzzy if-then-unless rules and their implementation.1992In: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU92,1992, Springer , 1992Conference paper (Refereed)
  • 4.
    Doherty, Patrick
    et al.
    Linköpings universitet, Tekniska högskolan.
    Driankov, Dimiter
    Linköpings universitet, Tekniska högskolan.
    Hellendoorn, H.
    Fuzzy if-then-unless rules and their implementation.1992Report (Refereed)
  • 5.
    Doherty, Patrick
    et al.
    Linköpings universitet, Tekniska högskolan.
    Driankov, Dimiter
    Linköpings universitet, Tekniska högskolan.
    Hellendoorn, Hans
    Fuzzy if-then-unless rules and their implementation1993In: International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, ISSN 0218-4885, Vol. 1, no 2, p. 167-182Article in journal (Refereed)
    Abstract [en]

    We consider the possibility of generalizing the notion of a fuzzy If-Then rule to take into account its context dependent nature. We interpret fuzzy rules as modeling a forward directed causal relationship between the antecedent and the conclusion, which applies in most contexts, but on occasion breaks down in exceptional contexts. The default nature of the rule is modeled by augmenting the original If-Then rule with an exception part. We then consider the proper semantic correlate to such an addition and propose a ternary relation which satisfies a number of intuitive constraints described in terms of a number of inference rules. In the rest of the paper, we consider implementational issues arising from the unless extension and propose the use of reason maintenance systems, in particular TMS's, where a fuzzy If-Then-Unless rule is encoded into a dependency net. We verify that the net satisfies the constraints stated in the inference schemes and conclude with a discussion concerning the integration of qualitative IN-OUT labelings of the TMS with quantitative degree of membership labelings for the variables in question.

  • 6.
    Doherty, Patrick
    et al.
    Linköpings universitet, Tekniska högskolan.
    Driankov, Dimiter
    Linköpings universitet, Tekniska högskolan.
    Tsoukias, A.
    Partial logics and partial preferences.1992In: International Conference on Economics/Management and Information Technology,1992, 1992, p. 525-Conference paper (Refereed)
  • 7.
    Doherty, Patrick
    et al.
    Linköpings universitet, Tekniska högskolan.
    Driankov, Dimiter
    Linköpings universitet, Tekniska högskolan.
    Tsoukias, A.
    Partiality, para-consistency and preference modeling: Preliminary version.1992Report (Refereed)
  • 8.
    Driankov, Dimiter
    et al.
    Linköpings universitet, Tekniska högskolan.
    Doherty, Patrick
    Linköpings universitet, KPLAB - Laboratoriet för kunskapsbearbetning.
    A non-monotonic fuzzy logic1992In: Fuzzy Logic for the Management of Uncertainty / [ed] Lotfi A. Zadeh, Janusz Kacprzyk, New York: John Wiley & Sons , 1992, p. 171-190Chapter in book (Other academic)
1 - 8 of 8
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