Fuzzy Classifier Based on Mamdani Inference and Statistical Features of the Target Population

Classifying study objects into groups is facilitated by fuzzy classifiers based on a set of rules and membership functions. Typically, the characteristics of the study objects are used to establish the criteria for classification. This work arises from the need to design fuzzy classifiers in context...

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Principais autores:	Miguel Antonio Caraveo-Cacep, Rubén Vázquez-Medina, Antonio Hernández Zavala
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-09-01
Serija:	Modelling
Teme:	statistical features fuzzy logic chaotic maps fuzzy inference system classifiers
Online dostop:	https://www.mdpi.com/2673-3951/6/3/106
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