Artificial Intelligence and Law 7 (2-3):235-257 (1999)

As an introduction to our work, we emphasize the parallel interpretation of abstract tools and the concepts of undetermined and vague information. Imprecision, uncertainty and their relationships are inspected. Suitable interpretations of the fuzzy sets theory are applied to legal phenomena in an attempt to clearly circumscribe the possible applications of the theory. The fundamental notion of reference sets is examined in detail, hence highlighting their importance. A systematic and combinatorial classification of the relevant subsets of the legal field is supplied for practical application. Although the use of the fuzzy sets theory is sometimes suggested as a palliative measure (no competition exists), it can also be complementary (serve as a building block to improve modelisation). An Appendix gives a brief recall of the key-concepts of the axiomatic theory of fuzziness and its developments: fuzzy sets, fuzzy logic, fuzzy control and theory of possibility.
Keywords fuzzy logic  gradual knowledge  jurimetrics  rules interpolation
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DOI 10.1023/A:1008357323873
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References found in this work BETA

A Mathematical Theory of Evidence.Glenn Shafer - 1976 - Princeton University Press.
Fuzzy Sets.Lofti A. Zadeh - 1965 - Information and Control 8 (1):338--53.
Rationales and Argument Moves.R. P. Loui & Jeff Norman - 1995 - Artificial Intelligence and Law 3 (3):159-189.
Isomorphism and Legal Knowledge Based Systems.T. J. M. Bench-Capon & F. P. Coenen - 1992 - Artificial Intelligence and Law 1 (1):65-86.
Formalizing Multiple Interpretation of Legal Knowledge.Andreas Hamfelt - 1995 - Artificial Intelligence and Law 3 (4):221-265.

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