Abstract
In a legal expert system based on CBR (Case-Based Reasoning), legal statute rules are interpreted on the basis of precedents. This interpretation, because of its vagueness and uncertainty of the interpretation cannot be handled with the means used for crisp cases. In our legal expert system, on the basis of the facts of precedents, the “statute rule” is interpreted as a form of “case rule”, the application of which involves the concepts of membership and vagueness. The case rule is stored in a data base by means of fuzzy frames. The inference based on a case rule is made by fuzzy YES and fuzzy NO, and the degree of similarity of cases. The system proposed here will be used for legal education; its main area of application is contract, especially in relation to the United Nations Convention on Contracts for the International Sale of Goods (CISG).
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Xu, M., Hirota, K. & Yoshino, H. A fuzzy theoretical approach to case-based representation and inference in CISG. Artificial Intelligence and Law 7, 259–272 (1999). https://doi.org/10.1023/A:1008373709761
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DOI: https://doi.org/10.1023/A:1008373709761