A fuzzy case based reasoning system for the legal inference

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).