Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Fuzzy rough sets: application to feature selection
Fuzzy Sets and Systems
Entropy, distance measure and similarity measure of fuzzy sets and their relations
Fuzzy Sets and Systems
Fuzzification of set inclusion: theory and applications
Fuzzy Sets and Systems
A neural network architecture for classification of fuzzy inputs
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Subsethood measure: new definitions
Fuzzy Sets and Systems
Fuzzy lattice neurocomputing (FLN) models
Neural Networks
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Grey-Scale Morphology Based on Fuzzy Logic
Journal of Mathematical Imaging and Vision
Connections between binary, gray-scale and fuzzy mathematical morphologies
Fuzzy Sets and Systems
Sinha-Dougherty approach to the fuzzification of set inclusion revisited
Fuzzy Sets and Systems - Implication operators
International Journal of Intelligent Systems
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
International Journal of Approximate Reasoning
A general framework for fuzzy morphological associative memories
Fuzzy Sets and Systems
Classification of Fuzzy Mathematical Morphologies Based on Concepts of Inclusion Measure and Duality
Journal of Mathematical Imaging and Vision
Fuzzy Systems Engineering: Toward Human-Centric Computing
Fuzzy Systems Engineering: Toward Human-Centric Computing
An introduction to the kosko subsethood FAM
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Journal of Mathematical Imaging and Vision
Design and analysis of fuzzy morphological algorithms for image processing
IEEE Transactions on Fuzzy Systems
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Recently, we presented a non-distributive fuzzy associative memory (FAM) called the Kosko subsethood FAM, for short KS-FAM. This model can be classified as a morphological neural network because it is based on computing the degree of fuzzy inclusion or subsethood of patterns and this operation can be considered an erosion in fuzzy mathematical morphology. In this paper, we introduce a whole range of extensions of the KS-FAM called S-FAMs, dual S-FAMs, and SM-FAMs. Here, the acronyms S-FAM and SM-FAM stand for respectively subsethood FAM and similarity measure FAM. The new models share some properties with the KS-FAM such as unlimited absolute storage capacity and a small number of spurious memories. The paper finishes some experimental results concerning the problem of text-independent speaker identification. For comparative purposes, we included the recognition rates obtained by some well-known classifiers from the literature.