The Research And Application Of Case-Based Reasoning Intelligent Decision Support Systems

Recently, the architecture of intelligent decision support system has been greatly improved when artificial intelligence, including machine learning, data mining, rough set theory, Dumpster-Shafer theory and so on, was developed rapidly. At the end of last century and the very beginning of this century, we can acquire more and more information with the popularization of Internet, and Plenty of information and convenient communication platform are provided, and more experts can participate in decision activities. Research on intelligent decision theory and methods nowadays become an active research area.Currently, one of the key problems of research on intelligent decision theory and methods mainly include: a mass of semi-structured, unstructured, uncertain and correlative information will affect decision. Experts hardly exactly, roundly and fast grasp and analyze all information by the knowledge and experience buried in their mind, and need intelligent methods to help resolving decision Problem, and then form a decision opinion.This paper investigates and analyzes the research about intelligent decision support system, then discusses the application of CBR in IDSS and its key technique. This paper adopts the method Case-Based Reasoning(CBR), studies on the case reasoning,retrieval reasoning and learning, forwards the legal advisory system based on CBR, demonstrate of the CBR technology for successfully utilizing existing expertise to solve the complex problem.