Evaluation of the quality and relevance of a fuzzy partition

Autor:	J. Tinguaro Rodríguez, Camilo Franco, Fabián Castiblanco, Javier Montero
Rok vydání:	2020
Předmět:	Statistics and Probability Computer science media_common.quotation_subject 05 social sciences General Engineering 050301 education 02 engineering and technology computer.software_genre Fuzzy partition ComputingMethodologies_PATTERNRECOGNITION Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Relevance (information retrieval) Data mining 0503 education computer media_common
Zdroj:	Journal of Intelligent & Fuzzy Systems. 39:4211-4226
ISSN:	1875-8967 1064-1246
DOI:	10.3233/jifs-200286
Popis:	This paper proposes a couple of criteria for evaluating the quality and relevance of a fuzzy partition. These criteria are established from a fuzzy classification system and its recursive De Morgan triplet. We propose a comparison process between the classes of a fuzzy partition, based on a translation invariant similarity relation. Therefore a classification process is carried out with the equivalence relations determined by the similarity relation. Such a relation is built on the commutative group structure formed by the elements of the fuzzy classification system. Our approach is illustrated through an example on image analysis by the fuzzy c-means algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8d241250585d16a3c2f8002b296aee0c https://doi.org/10.3233/jifs-200286 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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