文章基本信息

标题：Techniques for Efficient Case Retrieval and Rainfall Prediction Using CBR and Fuzzy Logic.
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作者：Purkayastha, D. B. ; Barman, D ; Das, A. K. 等
期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2013
卷号：4
期号：3
页码：692-698
出版社：IJECCE
摘要：Case based reasoning means to understand and solve new problems using past experiences. At the first stage this paper reports different phases of case based reasoning, methods and techniques involved in case retrieval phase and how these techniques are used by different researchers to make retrieval phase more significant in retrieving most similar cases. It also outlines the probable scope of the works in case base retrieval. At the second stage, this paper introduces a rainfall prediction method by fuzzy case based reasoning. In our study techniques used to rainfall prediction are investigated and then we have applied hybridization of fuzzy logic and case base reasoning for rainfall prediction. We have treated the important weather attributes of a day as a case. Fuzzy k-NN is applied to retrieve similar cases from case-base and we find the solution of the new case by adapting solutions of retrieved cases. A case-base of 10,000 cases is build. The obtained result shows promising prediction of rainfall
关键词：Case Based Reasoning; Case Retrieval; Decision Tree; Fuzzy Logic and K NN