A comprehensive review on type 2 fuzzy logic applications: Past, present and future
In this paper a concise overview of the work that has been done by various researchers in
the area of type-2 fuzzy logic is analyzed and discussed. Type-2 fuzzy systems have been …
the area of type-2 fuzzy logic is analyzed and discussed. Type-2 fuzzy systems have been …
A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition
P Melin, O Castillo - Applied soft computing, 2014 - Elsevier
In this paper a review of type-2 fuzzy logic applications in pattern recognition, classification
and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a …
and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a …
A review on the applications of type-2 fuzzy logic in classification and pattern recognition
P Melin, O Castillo - Expert Systems with Applications, 2013 - Elsevier
In this paper a review of type-2 fuzzy logic applications in pattern recognition, classification
and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a …
and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a …
Reinforced fuzzy rule-based neural networks realized through streamlined feature selection strategy and fuzzy clustering with distance variation
Z Wang, EH Kim, S KwunOh, W Pedrycz… - … on Fuzzy Systems, 2024 - ieeexplore.ieee.org
In this article, we present a dimensionality reduction methodology of reinforced fuzzy-rule-
based neural networks (FRNNs) realized with the help of determination/correlation …
based neural networks (FRNNs) realized with the help of determination/correlation …
Reinforced fuzzy clustering-based ensemble neural networks
In this paper, we propose reinforced fuzzy clustering-based ensemble neural networks
(FCENNs) classifier. The objective of this paper is focused on the development of the design …
(FCENNs) classifier. The objective of this paper is focused on the development of the design …
Constrained interval type-2 fuzzy sets
In many contexts, type-2 fuzzy sets (T2 FS) are obtained from a type-1 fuzzy set to which we
wish to add uncertainty. However, in the current type-2 representation, there is no restriction …
wish to add uncertainty. However, in the current type-2 representation, there is no restriction …
A new interval type-2 fuzzy reasoning method for classification systems based on normal forms of a possibility-based fuzzy measure
MRN Kalhori, MH FazelZarandi - Information Sciences, 2021 - Elsevier
To deal with two sources of uncertainty, cluster centers and reasoning aggregation
operators, in the inference engine, this paper represents a new fuzzy reasoning method for …
operators, in the inference engine, this paper represents a new fuzzy reasoning method for …
Attention-based fuzzy neural networks designed for early warning of financial crises of listed companies
Developing an early warning model for company financial crises holds critical significance in
robust risk management and ensuring the enduring stability of the capital market. Although …
robust risk management and ensuring the enduring stability of the capital market. Although …
Design of reinforced fuzzy radial basis function neural network classifier driven with the aid of iterative learning techniques and support vector-based clustering
In this article, a reinforced fuzzy radial basis function neural network (R-FRBFNN) classifier
is proposed. It focuses on the development of methodologies of reinforced architecture to …
is proposed. It focuses on the development of methodologies of reinforced architecture to …
Constrained interval type-2 fuzzy classification systems for explainable AI (XAI)
In recent year, there has been a growing need for intelligent systems that not only are able to
provide reliable classifications but can also produce explanations for the decisions they …
provide reliable classifications but can also produce explanations for the decisions they …