On the public citation graph
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems
0 signed · 82 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
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<1025::aid-int9>3.3.co;2-oopenalex-snapshot
Genetic learning of fuzzy rule‐based classification systems cooperating with fuzzy reasoning methods
inferredcites →https://doi.org/10.1002/9780470172254.ch1openalex-snapshot
Foundations of Genetic Algorithms
inferredcites →https://doi.org/10.1002/9780470172261.ch1openalex-snapshot
Foundations of Genetic Algorithms
inferredcites →https://doi.org/10.1006/jmaa.2000.7116openalex-snapshot
Defuzzification Filters and Applications to Power System Stabilization Problems
inferredcites →https://doi.org/10.1007/978-1-4020-2075-9_2openalex-snapshot
Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited
inferredcites →https://doi.org/10.1007/978-3-540-37057-4openalex-snapshot
Interpretability Issues in Fuzzy Modeling
inferredcites →https://doi.org/10.1007/978-3-540-37058-1openalex-snapshot
Accuracy Improvements in Linguistic Fuzzy Modeling
inferredcites →https://doi.org/10.1016/0165-0114(89)90005-5openalex-snapshot
Pictorial representations of fuzzy connectives, Part I: Cases of t-norms, t-conorms and averaging operators
inferredcites →https://doi.org/10.1016/0165-0114(91)90171-lopenalex-snapshot
Theory of T-norms and fuzzy inference methods
inferredcites →https://doi.org/10.1016/0165-0114(93)90383-sopenalex-snapshot
An adaptive approach to defuzzification based on level sets
inferredcites →https://doi.org/10.1016/0165-0114(94)00275-copenalex-snapshot
Handling the nonlinearity of a fuzzy logic controller at the transition between rules
inferredcites →https://doi.org/10.1016/0165-0114(95)00219-7openalex-snapshot
Adaptive learning defuzzification techniques and applications
inferredcites →https://doi.org/10.1016/0165-0114(95)00367-3openalex-snapshot
Applicability of the fuzzy operators in the design of fuzzy logic controllers
inferredcites →https://doi.org/10.1016/0893-6080(94)00109-yopenalex-snapshot
Handwritten numeral recognition using a small number of fuzzy rules with optimized defuzzification parameters
inferredcites →https://doi.org/10.1016/b978-0-08-050684-5.50020-3openalex-snapshot
The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination
inferredcites →https://doi.org/10.1016/b978-1-4832-1450-4.50013-4openalex-snapshot
ON IMPLICATION AND INDISTINGUISHABILITY IN THE SETTING OF FUZZY LOGIC**la fond remembrance of Xarier Domingo.
inferredcites →https://doi.org/10.1016/s0165-0114(01)00167-1openalex-snapshot
An accurate COG defuzzifier design using Lamarckian co-adaptation of learning and evolution
inferredcites →https://doi.org/10.1016/s0165-0114(02)00215-4openalex-snapshot
Parameterized R-implications
inferredcites →https://doi.org/10.1016/s0165-0114(97)00182-6openalex-snapshot
A new parametric family of fuzzy connectives and their application to fuzzy control
inferredcites →https://doi.org/10.1016/s0165-0114(97)00334-5openalex-snapshot
Evaluating flexible fuzzy controllers via evolution strategies
inferredcites →https://doi.org/10.1016/s0165-0114(97)00402-8openalex-snapshot
Searching for basic properties obtaining robust implication operators in fuzzy control
inferredcites →https://doi.org/10.1016/s0888-613x(96)00133-8openalex-snapshot
A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples
inferredcites →https://doi.org/10.1023/a:1008384630089openalex-snapshot
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
inferredcites →https://doi.org/10.1023/b:aire.0000006610.94970.1dopenalex-snapshot
Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited
inferredcites →https://doi.org/10.1109/21.199466openalex-snapshot
Generating fuzzy rules by learning from examples
inferredcites →https://doi.org/10.1109/3477.735402openalex-snapshot
Defuzzification using most typical values
inferredcites →https://doi.org/10.1109/3477.907563openalex-snapshot
Design of adaptive fuzzy logic controller based on linguistic-hedge concepts and genetic algorithms
inferredcites →https://doi.org/10.1109/91.481845openalex-snapshot
Generalized defuzzification strategies and their parameter learning procedures
inferredcites →https://doi.org/10.1109/91.797981openalex-snapshot
Parametric classes of generalized conjunction and disjunction operations for fuzzy modeling
inferredcites →https://doi.org/10.1109/tfuzz.1993.390286openalex-snapshot
SLIDE: A simple adaptive defuzzification method
inferredcites →https://doi.org/10.1109/tfuzz.2002.803500openalex-snapshot
Fuzzy modeling based on generalized conjunction operations
inferredcites →https://doi.org/10.1117/12.304803openalex-snapshot
Evolving predictors for chaotic time series
inferredcites →https://doi.org/10.1121/1.398548openalex-snapshot
Digital Spectral Analysis with Applications
inferredcites →https://doi.org/10.1142/4177#t=tocopenalex-snapshot
Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases
inferredcites →https://doi.org/10.2307/2008605openalex-snapshot
Digital Spectral Analysis with Applications.
inferredcites →https://doi.org/10.3233/his-2004-11-206openalex-snapshot
A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/int.21541openalex-snapshot
Differences between t-norms in fuzzy control
inferred← citeshttps://doi.org/10.1002/widm.1251openalex-snapshot
Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective
inferred← citeshttps://doi.org/10.1007/978-3-031-23476-7_15openalex-snapshot
Balance-Based Fuzzy Logic Approach for the Classification of Liver Diseases Due to Hepatitis C Virus
inferred← citeshttps://doi.org/10.1007/978-3-319-30421-2_12openalex-snapshot
Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification
inferred← citeshttps://doi.org/10.1007/978-3-319-91341-4_9openalex-snapshot
Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1007/978-3-540-87656-4_91openalex-snapshot
Cooperation between the Inference System and the Rule Base by Using Multiobjective Genetic Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-642-01799-5_4openalex-snapshot
Fuzzy Evolutionary Algorithms and Genetic Fuzzy Systems: A Positive Collaboration between Evolutionary Algorithms and Fuzzy Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-02478-8_37openalex-snapshot
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System
inferred← citeshttps://doi.org/10.1007/978-3-642-16773-7_42openalex-snapshot
FPGA Implementation of Fuzzy System with Parametric Membership Functions and Parametric Conjunctions
inferred← citeshttps://doi.org/10.1007/978-3-662-43505-2_14openalex-snapshot
Interpretability of Fuzzy Systems: Current Research Trends and Prospects
inferred← citeshttps://doi.org/10.1007/978-981-15-3338-9_42openalex-snapshot
Comparative Analysis of Optimisations of Antecedents and Consequents of Fuzzy Inference System Rules Lists Using Genetic Algorithm Operations
inferred← citeshttps://doi.org/10.1007/s10462-022-10355-6openalex-snapshot
Autonomous learning for fuzzy systems: a review
inferred← citeshttps://doi.org/10.1007/s11831-024-10157-9openalex-snapshot
A Survey on Genetic Fuzzy Systems
inferred← citeshttps://doi.org/10.1007/s12065-007-0001-5openalex-snapshot
Genetic fuzzy systems: taxonomy, current research trends and prospects
inferred← citeshttps://doi.org/10.1007/s12065-009-0026-zopenalex-snapshot
Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms
inferred← citeshttps://doi.org/10.1007/s12559-019-09632-4openalex-snapshot
Evolutionary Design of Linguistic Fuzzy Regression Systems with Adaptive Defuzzification in Big Data Environments
inferred← citeshttps://doi.org/10.1007/s40815-015-0076-6openalex-snapshot
Hardware Design of Digital Parametric Conjunctors and t-Norms
inferred← citeshttps://doi.org/10.1007/s40815-017-0307-0openalex-snapshot
A Feasible Genetic Optimization Strategy for Parametric Interval Type-2 Fuzzy Logic Systems
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106095openalex-snapshot
Learning rules for Sugeno ANFIS with parametric conjunction operations
inferred← citeshttps://doi.org/10.1016/j.engappai.2019.103417openalex-snapshot
New mixed-coding PSO algorithm for a self-adaptive and automatic learning of Mamdani fuzzy rules
inferred← citeshttps://doi.org/10.1016/j.eswa.2009.02.048openalex-snapshot
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets
inferred← citeshttps://doi.org/10.1016/j.ijar.2009.04.004openalex-snapshot
Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework
inferred← citeshttps://doi.org/10.1016/j.ins.2009.12.014openalex-snapshot
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
inferred← citeshttps://doi.org/10.1016/j.ins.2009.12.020openalex-snapshot
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems
inferred← citeshttps://doi.org/10.1016/j.knosys.2012.07.014openalex-snapshot
On the monotone sum of basic t-norms in the construction of parametric families of digital conjunctors for fuzzy systems with reconfigurable logic
inferred← citeshttps://doi.org/10.1016/j.knosys.2013.05.012openalex-snapshot
An efficient adaptive fuzzy inference system for complex and high dimensional regression problems in linguistic fuzzy modelling
inferred← citeshttps://doi.org/10.1016/j.knosys.2015.01.013openalex-snapshot
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges
inferred← citeshttps://doi.org/10.1080/18756891.2012.685309openalex-snapshot
A Mechanism to Improve the Interpretability of Linguistic Fuzzy Systems with Adaptive Defuzzification based on the use of a Multi-objective Evolutionary Algorithm
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2012.6251181openalex-snapshot
An efficient multi-objective evolutionary adaptive conjunction for high dimensional problems in linguistic fuzzy modelling
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2017.8015753openalex-snapshot
A scalable evolutionary linguistic fuzzy system with adaptive defuzzification in big data
inferred← citeshttps://doi.org/10.1109/fuzzy.2009.5277343openalex-snapshot
Parallel evolutionary multiobjective methodology for granularity and rule base learning in linguistic fuzzy systems
inferred← citeshttps://doi.org/10.1109/fuzzy.2010.5584294openalex-snapshot
A multi-objective evolutionary algorithm with an interpretability improvement mechanism for linguistic fuzzy systems with adaptive defuzzification
inferred← citeshttps://doi.org/10.1109/fuzzy.2010.5584870openalex-snapshot
FPGA implementation of (p)-monotone sum of basic t-norms
inferred← citeshttps://doi.org/10.1109/fuzzy.2011.6007633openalex-snapshot
Long term bank failure prediction using Fuzzy Refinement-based Transductive Transfer learning
inferred← citeshttps://doi.org/10.1109/isda.2009.225openalex-snapshot
Parallel Distributed Two-Level Evolutionary Multiobjective Methodology for Granularity Learning and Membership Functions Tuning in Linguistic Fuzzy Systems
inferred← citeshttps://doi.org/10.1109/iske.2010.5680789openalex-snapshot
Adaptive inference-based learning and rule generation algorithms in Fuzzy Neural Network for failure prediction
inferred← citeshttps://doi.org/10.1109/nafips.2012.6291012openalex-snapshot
Parametric t-norms in reconfigurable digital fuzzy systems
inferred← citeshttps://doi.org/10.1109/sbrn.2012.45openalex-snapshot
Multiobjective Genetic Optimization of Fuzzy Partitions and T-Norm Parameters in Fuzzy Classifiers
inferred← citeshttps://doi.org/10.1109/tfuzz.2007.904121openalex-snapshot
Cooperative Evolutionary Learning of Linguistic Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Fuzzy Systems
inferred← citeshttps://doi.org/10.1109/tfuzz.2012.2201338openalex-snapshot
A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions
inferred← citeshttps://doi.org/10.1142/s0129065710002504openalex-snapshot
BACKPROPAGATION THROUGH TIME TRAINING OF A NEURO-FUZZY CONTROLLER
inferred← citeshttps://doi.org/10.17562/pb-44-8openalex-snapshot
FPGA Implementation of Fuzzy Mamdani System with Parametric Conjunctions Generated by Monotone Sum of Basic t-Norms
inferred← citeshttps://doi.org/10.20965/jaciii.2016.p0773openalex-snapshot
An Interpretability-Accuracy Tradeoff in Learning Parameters of Intuitionistic Fuzzy Rule-Based Systems
inferred← citeshttps://doi.org/10.2991/ifsa-eusflat-15.2015.92openalex-snapshot
Study on the use of uninorm aggregation operators in linguistic fuzzy modeling
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.