Case Retrieval Optimization of Case-based reasoning through Knowledge-Intensive Similarity Measures

TitleCase Retrieval Optimization of Case-based reasoning through Knowledge-Intensive Similarity Measures
Publication TypeJournal Article
Year of Publication2011
AuthorsDalal S, Athavale D.Vijay, Jindal K
Journal IJCA Journal
Volume34
Issue3
Start Page12
Date Published11/2011
KeywordsCase retrieval, Case-based Reasoning, Knowledge-intensive similarity measures, myCBR, similarity measures
Abstract

Case based reasoning has become the emerging field of
Artificial Intelligence area. It is mostly used in designing the
real time application having the decision support capability. It
reassembles with human reasoning approach. This reasoning
approach contains four phases. It stores the solution of past
problems faced in form the case in its case base. In this paper
we have discussed about the case retrieval phase of case based
reasoning approach. All efficiency of the CBR system depends
on the case retrieval process. There are various strategies are
used in this phase of case based reasoning. Nearest neighbour
& Induction retrieval algorithms are discussed. These
algorithms are very simple but inefficient in larger case base &
incomplete case. In this paper we will discuss KnowledgeIntensive
Similarity measure retrieval strategies for the case
base reasoning system & model the knowlededge-intensive
similarity measure by using myCBR tool. The basic purpose of
our work is to over the bottlenecks of other retrieval strategies.

URLhttp://www.ijcaonline.org/archives/volume34/number3/4078-5872
DOI10.5120/4078-5872