Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical techniques with applications
Fuzzy mathematical techniques with applications
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Data Mining: Concepts and Algorithms From Multimedia to Bioinformatics
Data Mining: Concepts and Algorithms From Multimedia to Bioinformatics
Soft Computing Approach to Pattern Recognition and Image Processing
Soft Computing Approach to Pattern Recognition and Image Processing
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular Computing
The fuzzy geometry of image subsets
Pattern Recognition Letters
Data mining in soft computing framework: a survey
IEEE Transactions on Neural Networks
Web mining in soft computing framework: relevance, state of the art and future directions
IEEE Transactions on Neural Networks
An automated feature extraction and emboli detection system based on the PCA and fuzzy sets
Computers in Biology and Medicine
On External Measures for Validation of Fuzzy Partitions
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Interval Additive Generators of Interval T-Norms
WoLLIC '08 Proceedings of the 15th international workshop on Logic, Language, Information and Computation
Xor-Implications and E-Implications: Classes of Fuzzy Implications Based on Fuzzy Xor
Electronic Notes in Theoretical Computer Science (ENTCS)
A new methodology to improve interpretability in neuro-fuzzy TSK models
Applied Soft Computing
Fuzzy rule base classifier fusion for protein mass spectra based ovarian cancer diagnosis
CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology
On interval fuzzy S-implications
Information Sciences: an International Journal
Fuzzy intervals for designing structural signature: an application to graphic symbol recognition
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
International Journal of Approximate Reasoning
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Fuzzy sets constitute the oldest and most reported soft computing paradigm. They are well-suited to modeling different forms of uncertainties and ambiguities, often encountered in real life. Integration of fuzzy sets with other soft computing tools has lead to the generation of more powerful, intelligent and efficient systems. In this position paper we seek to outline the contribution of fuzzy sets to pattern recognition, image processing, and machine intelligence over the last 40 years.