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Information flow-based fuzzy cognitive maps with enhanced interpretability
Abstract Fuzzy Cognitive Maps (FCMs) are a graph-based methodology successfully
applied for knowledge representation of complex systems modelled through an interactive …
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 …
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 …
method resistant to outlier data is Fuzzy Possibilistic C-Means (FPCM). FPCM performance …
A novel framework for enhanced interpretability in fuzzy cognitive maps
Fuzzy Cognitive Maps (FCMs) is a graph-based methodology successfully applied for
knowledge representation of complex systems modelled through an interactive structure of …
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 …
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 …
better approaches to represent and analyze the complexity of data-driven models continues …