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A PRECEDENT-BASED LEGAL JUDGEMENT SYSTEM USING FUZZY DATABASE

Dept. of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama 226, Japan

Tel: +81–45–924–5686, Fax: +81–45–924–5676

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HIROTERU KURISU

Dept. of Systems Eng., Graduate School of Hosei University, 3–7–2 Kajino-cho, Koganei-city, Tokyo 184, Japan

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HAJIME YOSHINO

Meiji Gakuin Univ., Legal Expert Laboratory, 1–2–37 Shirokanedai, Minato-ku, Tokyo 108, Japan

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https://doi.org/10.1142/S0218488596000329Cited by:4 (Source: Crossref)

Abstract

In the domain of law, various real situations are expressed as relations and/or combinations of legal knowledge items (legal concepts, articles of law, etc). Such knowledge items (legal facts, events) cannot be precisely defined. Legal judgement is performed based on resemblance of legal knowledge and facts. In our system, vague legal knowledge is saved in the fuzzy relational database, and legal inference is realized as fuzzy inference. The target law for this system is the United Nations Convention on Contracts for the International Sale of Goods (CISG).

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