Boolean functions with engineering applications and computer programs
Boolean functions with engineering applications and computer programs
Identifying fuzzy models utilizing genetic programming
Fuzzy Sets and Systems
Fuzzy equalization in the construction of fuzzy sets
Fuzzy Sets and Systems
Fuzzy Sets Engineering
Logic Minimization Algorithms for VLSI Synthesis
Logic Minimization Algorithms for VLSI Synthesis
BOOM: a heuristic boolean minimizer
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Proceedings of the 40th annual Design Automation Conference
On Using Logic Synthesis for Supervised Classification Learning
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
FC-Min: A Fast Multi-Output Boolean Minimizer
DSD '03 Proceedings of the Euromicro Symposium on Digital Systems Design
A codesigned on-chip logic minimizer
Proceedings of the 1st IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
SAT-Based Algorithms for Logic Minimization
ICCD '03 Proceedings of the 21st International Conference on Computer Design
IEEE Transactions on Evolutionary Computation
A neuro-fuzzy controller for mobile robot navigation and multirobotconvoying
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Identification of complex systems based on neural and Takagi-Sugeno fuzzy model
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
ESPRESSO-SIGNATURE: a new exact minimizer for logic functions
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A fuzzy clustering-based rapid prototyping for fuzzy rule-based modeling
IEEE Transactions on Fuzzy Systems
Forecasting time series with genetic fuzzy predictor ensemble
IEEE Transactions on Fuzzy Systems
FuGeNeSys-a fuzzy genetic neural system for fuzzy modeling
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Fuzzy control of pH using genetic algorithms
IEEE Transactions on Fuzzy Systems
Fast heuristic and exact algorithms for two-level hazard-free logic minimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Conditional fuzzy clustering in the design of radial basis function neural networks
IEEE Transactions on Neural Networks
Heterogeneous fuzzy logic networks: fundamentals and development studies
IEEE Transactions on Neural Networks
International Journal of Approximate Reasoning
A new probabilistic fuzzy model: Fuzzification--Maximization (FM) approach
International Journal of Approximate Reasoning
Logic-based fuzzy networks: A study in system modeling with triangular norms and uninorms
Fuzzy Sets and Systems
Proceedings of the 2011 ACM Symposium on Research in Applied Computation
A genetic reduction of feature space in the design of fuzzy models
Applied Soft Computing
Granular fuzzy models: a study in knowledge management in fuzzy modeling
International Journal of Approximate Reasoning
Building granular fuzzy decision support systems
Knowledge-Based Systems
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This study proposes a new logic-driven approach to the development of fuzzy models. We introduce a two-phase design process realizing adaptive logic processing in the form of structural and parametric optimization. By recognizing the fundamental links between binary (two-valued) and fuzzy (multi-valued) logic, effective structural learning is achieved through the use of well-established methods of Boolean minimization encountered in digital systems. This blueprint structure is then refined by adjusting connections of fuzzy neurons, helping to capture the numeric details of the target system's behavior. The introduced structure along with the learning mechanisms helps achieve high accuracy and interpretability (transparency) of the resulting model.