Design issues in fuzzy case-based reasoning

Autor:	Moti Schneider, T. Y. Slonim
Rok vydání:	2001
Předmět:	Logic business.industry Similarity measure Fuzzy logic Similitude Artificial Intelligence Independent set Similarity (psychology) Artificial intelligence Fuzzy case based reasoning business Representation (mathematics) Algorithm Membership function Mathematics
Zdroj:	Fuzzy Sets and Systems. 117:251-267
ISSN:	0165-0114
DOI:	10.1016/s0165-0114(99)00055-x
Popis:	This paper focuses on the aspect of case representation in case-based reasoning systems. We introduce an augmentation in which each case is weighted individually over an independent set of properties. In addition, we encourage the use of fuzzy-valued properties, and show their incorporation in this representation. Combining these two characteristics, we receive the framework for a versatile Fuzzy CBR system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::93af725b7c7fa3930b5225def6cd6d40 https://doi.org/10.1016/s0165-0114(99)00055-x Zobrazit plný text záznamu Full Text from ScienceDirect