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This paper imports the fuzzy logic into image retrieval to deal with the vagueness and ambiguity of human judgment of image similarity. Our retrieval system has the following properties: firstly adopting the fuzzy langua...

A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented in this paper. The premise of an implication is the description of fuzzy subspace of inputs and its cons...

The classification problem is one of the main issues in data mining because it aims to extract a classifier which can be used to predict the classes of objects whose class table are unknown. This paper deals with classif...

This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The...

The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference system implemented in the framework of adaptive networks. By using a hybri...

Materias / palabras clave: Mathematics; Generalization; Fuzzy set; Modal; Set (abstract data type); Algebra over a field; Fuzzy set operations; Discrete mathematics; Fuzzy logic; Pure mathematics; Artificial intelligence; Computer science

Materias / palabras clave: Computer science; Fuzzy logic; Algorithm; Function (biology); Pattern recognition (psychology); Artificial intelligence; Biology; Evolutionary biology

Currently, Mathematical Morphology (MM) has become a powerful tool in Digital Image Processing (DIP). It allows processing images to enhance fuzzy areas, segment objects, detect edges and analyze structures. The techniqu...

Standard hardware, dedicated microcontroller or application specific circuits can implement fuzzy logic or neural network controllers. This paper presents efficient architecture approaches to develop controllers using sp...

The approach described in this paper represents a substantive departure from the conventional quantitative techniques of system analysis. It has three main distinguishing features: 1) use of so-called ``linguistic'' vari...

Materias / palabras clave: Rough set; Fuzzy set; Mathematics; Set theory; Fuzzy logic; Computer science; Discrete mathematics; Set (abstract data type); Algebra over a field; Algorithm; Pure mathematics; Artificial intelligence