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Author Hirota, K. ♦ Yoshino, H. ♦ Xu, M.Q. ♦ Zhu, Y. ♦ Li, X.Y. ♦ Horie, D.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1998
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy reasoning ♦ Fuzzy systems ♦ Computer aided software engineering ♦ Law ♦ Legal factors ♦ Fuzzy sets ♦ Contracts ♦ Intelligent systems ♦ Computational intelligence ♦ Laboratories
Abstract In legal case-based reasoning(CBR), there exist problems concerning fuzziness, e.g., representation of precedents, their retrieval and similarity measures. In the proposed fuzzy legal CBR system, the issues and features of precedent are characterized on the basis of the facts of precedent and statute rule. The case rule that is used for interpreting the court judgement, which can not be obtained from the statute rule directly, is made by experts. Fuzziness is represented by membership functions. Features and case rules, written in terms of frame, are stored in a case base. Cases similar to a new case are retrieved by issues and features, inference is made by case rules. A user interface is devised for this system. The system proposed here will be used for education of law, where the target law of the system is contract, especially as it relates to the United Nations Convention on Contracts for the International Sale of Goods (CISG).
Description Author affiliation: Dept. of Comput. & Syst. Intelligence, Tokyo Inst. of Technol., Japan (Hirota, K.)
ISBN 078034863X
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1998-05-04
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 642.94 kB
Page Count 5
Starting Page 1350
Ending Page 1354


Source: IEEE Xplore Digital Library