SOFT-CBR: A Self-Optimizing Fuzzy Tool for Case-Based Reasoning

Autor:	William Cheetham, Piero P. Bonissone, Kareem Sherif Aggour, Marc Pavese
Rok vydání:	2007
Předmět:	business.industry computer.internet_protocol Computer science Evolutionary algorithm Software development Decision problem Fuzzy logic Component (UML) Case-based reasoning Artificial intelligence Software engineering business Software architecture computer XML
Zdroj:	Case-Based Reasoning Research and Development ISBN: 9783540404330 ICCBR
DOI:	10.1007/3-540-45006-8_4
Popis:	A generic Case-Based Reasoning tool has been designed, implemented, and successfully used in two distinct applications. SOFT-CBR can be applied to a wide range of decision problems, independent of the underlying input case data and output decision space. The tool supplements the traditional case base paradigm by incorporating Fuzzy Logic concepts in a flexible, extensible component-based architecture. An Evolutionary Algorithm has also been incorporated into SOFT-CBR to facilitate the optimization and maintenance of the system. SOFT-CBR relies on simple XML files for configuration, enabling its widespread use beyond the software development community. SOFT-CBR has been used in an automated insurance underwriting system and a gas turbine diagnosis system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d03988a91e1324ee7de7e56b6294deea https://doi.org/10.1007/3-540-45006-8_4 Zobrazit plný text záznamu