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Context adaptation of mamdani fuzzy rule based systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1098-111x(199810/11)13:10/11<929::aid-int4>3.0.co;2-0openalex-snapshot
Context adaptation in fuzzy processing and genetic algorithms
inferredcites →https://doi.org/10.1002/9781119994374openalex-snapshot
Fuzzy Logic with Engineering Applications
inferredcites →https://doi.org/10.1002/int.10033openalex-snapshot
On the role of context in hierarchical fuzzy controllers
inferredcites →https://doi.org/10.1007/978-3-540-37057-4openalex-snapshot
Interpretability Issues in Fuzzy Modeling
inferredcites →https://doi.org/10.1007/978-3-540-37057-4_2openalex-snapshot
Regaining Comprehensibility of Approximative Fuzzy Models via the Use of Linguistic Hedges
inferredcites →https://doi.org/10.1007/s00500-005-0004-zopenalex-snapshot
Reducing the number of parameters of a fuzzy system using scaling functions
inferredcites →https://doi.org/10.1016/s0020-0255(01)00143-8openalex-snapshot
A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base
inferredcites →https://doi.org/10.1016/s0165-0114(03)00111-8openalex-snapshot
Ten years of genetic fuzzy systems: current framework and new trends
inferredcites →https://doi.org/10.1016/s0165-0114(96)00057-7openalex-snapshot
Nonlinear context adaptation in the calibration of fuzzy sets
inferredcites →https://doi.org/10.1016/s0888-613x(97)00001-7openalex-snapshot
Adapting the gain of an FLC with genetic algorithms
inferredcites →https://doi.org/10.1109/21.199466openalex-snapshot
Generating fuzzy rules by learning from examples
inferredcites →https://doi.org/10.1109/3468.736369openalex-snapshot
Semantic constraints for membership function optimization
inferredcites →https://doi.org/10.1109/fuzzy.2004.1375725openalex-snapshot
Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation
inferredcites →https://doi.org/10.1109/ismvl.2000.848609openalex-snapshot
A new class of fuzzy modifiers
inferredcites →https://doi.org/10.1109/tfuzz.2004.839670openalex-snapshot
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction
inferredcites →https://doi.org/10.1109/tsmc.1973.5408575openalex-snapshot
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
inferredcites →https://doi.org/10.1142/s0218488594000365openalex-snapshot
HOW TO HANDLE THE FLEXIBILITY OF LINGUISTIC VARIABLES WITH APPLICATIONS
inferredcites →https://doi.org/10.2307/2669583openalex-snapshot
Genetic Algorithms + Data Structures = Evolution Programs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Knowledge modeling: A survey of processes and techniques
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Fuzzy Logic Control for Adaptive Fan Speed Regulation Based on Temperature Variations in Cold, Warm, and Hot Seasons
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Analytic Hierarchy Process and Fuzzy Rule Based System-Integrated Methodology for Urban Land Use Planning
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Towards Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High Dimensional Problems
inferred← citeshttps://doi.org/10.1007/978-3-642-24666-1_6openalex-snapshot
A Historical Review of Mamdani-Type Genetic Fuzzy Systems
inferred← citeshttps://doi.org/10.1007/s11771-015-2792-3openalex-snapshot
Novel robust approach for constructing Mamdani-type fuzzy system based on PRM and subtractive clustering algorithm
inferred← citeshttps://doi.org/10.1016/j.asoc.2009.12.028openalex-snapshot
On reducing computational overhead in multi-objective genetic Takagi–Sugeno fuzzy systems
inferred← citeshttps://doi.org/10.1016/j.chb.2010.07.040openalex-snapshot
Modeling instructional-design theories with ontologies: Using methods to check, generate and search learning designs
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2024.110903openalex-snapshot
Exploring the optimal fuzzy rule-based modeling procedure to assess habitat suitability of indicator Collembola species in forest soils
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.04.022openalex-snapshot
An improved genetic-fuzzy system for classification and data analysis
inferred← citeshttps://doi.org/10.1016/j.ijar.2011.03.004openalex-snapshot
A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems
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Revealing travellers’ satisfaction during COVID-19 outbreak: Moderating role of service quality
inferred← citeshttps://doi.org/10.1109/fuzzy.2010.5584346openalex-snapshot
Decision support systems in multicriteria groups: An approach based on fuzzy rules
inferred← citeshttps://doi.org/10.1109/iccs.2012.50openalex-snapshot
On the Design of Interpretable Evolutionary Fuzzy Systems (I-EFS) with Improved Accuracy
inferred← citeshttps://doi.org/10.1109/icgec.2011.32openalex-snapshot
A Survey on Interpretability-Accuracy (I-A) Trade-Off in Evolutionary Fuzzy Systems
inferred← citeshttps://doi.org/10.1109/iciea.2010.5514965openalex-snapshot
Study on controller designs for high-precisely linear piezoelectric ceramic motor (LPCM)
inferred← citeshttps://doi.org/10.1109/robionetics.2013.6743579openalex-snapshot
Sliding-mode (SM) and Fuzzy-Sliding-Mode (FSM) controllers for high-precisely linear piezoelectric ceramic motor (LPCM)
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