Information flow-based fuzzy cognitive maps with enhanced interpretability

M Tyrovolas, XS Liang, C Stylios - Granular Computing, 2023 - Springer
Abstract Fuzzy Cognitive Maps (FCMs) are a graph-based methodology successfully
applied for knowledge representation of complex systems modelled through an interactive …

Performance Comparison of Dimensional Reduction using Principal Component Analysis with Alternating Least Squares in Modified Fuzzy Possibilistic C-Means and …

E Satriyanto, NWS Wardhani, S Anam… - International …, 2024 - search.ebscohost.com
The clustering method is said to be good if it has resistance to outlier data. One cluster
method resistant to outlier data is Fuzzy Possibilistic C-Means (FPCM). FPCM performance …

A novel framework for enhanced interpretability in fuzzy cognitive maps

M Tyrovolas, X San Liang, C Stylios - Authorea Preprints, 2023 - techrxiv.org
Fuzzy Cognitive Maps (FCMs) is a graph-based methodology successfully applied for
knowledge representation of complex systems modelled through an interactive structure of …

Review of the achievements of employees of the Lublin University Of Technology in the field of fuzzy set utilization

M Celiński, A Kiersztyn - … Pomiary w Gospodarce i Ochronie Środowiska, 2024 - ph.pollub.pl
In this paper, we present a review of research on the applications of fuzzy set theory
conducted by Lublin University of Technology researchers. We focus on analyzing research …

[PDF][PDF] ENHANCEMENT OF FCM FOR FORECASTING AND DECISION SUPPORT SYSTEM

P JAYAGOWRI, K KARPAGAVALLI - 2022 - mililink.com
In spite of the numerous solutions that have recently been offered in this field, the search for
better approaches to represent and analyze the complexity of data-driven models continues …