MODEL P: AN APPROACH OF THE ADAPTABILITY OF CASE-BASED REASONING SYSTEMS

摘要

This paper summarizes a new approach of the Cased-based Reasoning. The cases are not stored. The problem case solution is built as a puzzle. The puzzle obtained corresponds to the required solution. Each part is carrying information and has an associative behaviour. A piece seeks the piece which can be associated in width and in depth method. This associative behaviour is determined by several mechanisms: engine of expert system to binary rules, model of multicriterion choice of ordinal outclassing, search for close indices. A puzzle can thus have a complex mode of reasoning; each piece has a specific behaviour. The tool was tested on two applications of decision-making aid: identification of malaria facies and assistance to the specification of habitats. These applications made it possible to check the interest of this original framework. In particular it brings an elegant solution to the phase of adaptation in CBR technique.