<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10001847" mdate="2015-07-01 00:00:00"> <author>Kamalendu Pal</author> <title>Evaluation of a Hybrid KnowledgeBased System Using Fuzzy Approach </title> <pages>1685 - 1691</pages> <year>2015</year> <volume>9</volume> <number>7</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/10001847</ee> <url>https://publications.waset.org/vol/103</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>This paper describes the main features of a knowledgebased system evaluation method. System evaluation is placed in the context of a hybrid legal decisionsupport system, Advisory Support for Home Settlement in Divorce (ASHSD). Legal knowledge for ASHSD is represented in two forms, as rules and previously decided cases. Besides distinguishing the two different forms of knowledge representation, the paper outlines the actual use of these forms in a computational framework that is designed to generate a plausible solution for a given case, by using rulebased reasoning (RBR) and casebased reasoning (CBR) in an integrated environment. The nature of suitability assessment of a solution has been considered as a multiple criteria decisionmaking process in ASHAD evaluation. The evaluation was performed by a combination of discussions and questionnaires with different user groups. The answers to questionnaires used in this evaluations method have been measured as a fuzzy linguistic term. The finding suggests that fuzzy linguistic evaluation is practical and meaningful in knowledgebased system development purpose. </abstract> <index>Open Science Index 103, 2015</index> </article>