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Fuzzy-Rough Cognitive Networks
- Source :
- Neural Networks. 97:19-27
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Rough Cognitive Networks (RCNs) are a kind of granular neural network that augments the reasoning rule present in Fuzzy Cognitive Maps with crisp information granules coming from Rough Set Theory. While RCNs have shown promise in solving different classification problems, this model is still very sensitive to the similarity threshold upon which the rough information granules are built. In this paper, we cast the RCN model within the framework of fuzzy rough sets in an attempt to eliminate the need for a user-specified similarity threshold while retaining the model's discriminatory power. As far as we know, this is the first study that brings fuzzy sets into the domain of rough cognitive mapping. Numerical results in the presence of 140 well-known pattern classification problems reveal that our approach, referred to as Fuzzy-Rough Cognitive Networks, is capable of outperforming most traditional classifiers used for benchmarking purposes. Furthermore, we explore the impact of using different heterogeneous distance functions and fuzzy operators over the performance of our granular neural network.
- Subjects :
- Fuzzy classification
Cognitive Neuroscience
Fuzzy set
02 engineering and technology
Machine learning
computer.software_genre
Fuzzy logic
Pattern Recognition, Automated
Cognition
Discrimination, Psychological
Fuzzy Logic
Artificial Intelligence
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Computer Simulation
Problem Solving
Mathematics
business.industry
Decision Trees
Dominance-based rough set approach
Bayes Theorem
Models, Theoretical
Cognitive network
Fuzzy cognitive maps
Fuzzy rough sets
Rough cognitive mapping
Pattern classification
Granular classifiers
Fuzzy cognitive map
Benchmarking
ComputingMethodologies_PATTERNRECOGNITION
Fuzzy set operations
020201 artificial intelligence & image processing
Neural Networks, Computer
Artificial intelligence
Rough set
business
computer
Algorithms
Subjects
Details
- ISSN :
- 08936080
- Volume :
- 97
- Database :
- OpenAIRE
- Journal :
- Neural Networks
- Accession number :
- edsair.doi.dedup.....391c469218bad43beda92e07d74fa500