Multidimensional Optimization with a Fuzzy Genetic Algorithm
Journal of Heuristics
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms
Applied Intelligence
Comparison of fuzzy numbers using a fuzzy distance measure
Fuzzy Sets and Systems - Fuzzy intervals
Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology
Technologies for constructing intelligent systems
A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology
Fuzzy Sets and Systems - Theme: Learning and modeling
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
A Fuzzy Model of Glucose Regulation
Journal of Medical Systems
Initial breeding value prediction on Manchego sheep by using rule-based systems
Expert Systems with Applications: An International Journal
Hybrid fuzzy-mechanistic models for addressing parameter variability
Environmental Modelling & Software
Is there a need for fuzzy logic?
Information Sciences: an International Journal
Multi-objective calibration and fuzzy preference selection of a distributed hydrological model
Environmental Modelling & Software
A semantics-driven, fuzzy logic-based approach to knowledge representation and inference
Expert Systems with Applications: An International Journal
Quantifying the benefits of investing in information security
Communications of the ACM - Scratch Programming for All
Generalized theory of uncertainty (GTU)-principal concepts and ideas
Computational Statistics & Data Analysis
Conversion of probabilistic information into fuzzy sets for engineering decision analysis
Computers and Structures
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
A proposal on reasoning methods in fuzzy rule-based classification systems
International Journal of Approximate Reasoning
A study on the effect of particle size on coal flotation kinetics using fuzzy logic
Expert Systems with Applications: An International Journal
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Environmental Modelling & Software
Optimization of embedded fuzzy rule-based systems in wireless sensor network nodes
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
International Journal of Approximate Reasoning
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters
Applied Intelligence
A web-based e-testing system supporting test quality improvement
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
Mathematical models and methods in the water industry
Mathematical and Computer Modelling: An International Journal
Environmental Modelling & Software
Journal of Computational and Applied Mathematics
Fuzzy regression analysis: An application on tensile strength of materials and hardness scales
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Fuzzy reliability in spatial databases
Advances in Fuzzy Systems - Special issue on Fuzzy Methods and Approximate Reasoning in Geographical Information Systems
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From the Publisher:This book presents in a systematic and comprehensive manner themodeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback. The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions. Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given. Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution.