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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
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TLDR
Pattern Recognition, Cluster Analysis for Object Data, Classifier Design, and Image Processing and Computer Vision are studied.Abstract:
Pattern Recognition.- Cluster Analysis for Object Data.- Cluster Analysis for Relational Data.- Classifier Design.- Image Processing and Computer Vision.read more
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Journal ArticleDOI
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
TL;DR: A survey on recent developments (or state of the art) of analysis and design of model based fuzzy control systems based on the so-called Takagi-Sugeno fuzzy models or fuzzy dynamic models.
Journal ArticleDOI
Is there a need for fuzzy logic
TL;DR: In this paper, fuzzy logic is viewed in a nonstandard perspective and the cornerstones of fuzzy logic-and its principal distinguishing features-are: graduation, granulation, precisiation and the concept of a generalized constraint.
Decision templates for multiple classi"er fusion: an experimental comparison
TL;DR: This work presents here a simple rule for adapting the class combiner to the application and shows that decision templates based on integral type measures of similarity are superior to the other schemes on both data sets.
Journal ArticleDOI
Decision templates for multiple classifier fusion: an experimental comparison.
TL;DR: In this article, a simple rule for adapting the class combiner to the application is presented, where decision templates (one per class) are estimated with the same training set that is used for the set of classifiers.
Journal ArticleDOI
A survey on industrial vision systems, applications and tools
TL;DR: The state of the art in machine vision inspection and a critical overview of real-world applications are presented and two independent ways to classify applications are proposed.