A Hybrid Evolutionary Search Concept for Data-Based Generation of Relevant Fuzzy Rules in High Dimensional Spaces

doi 10.1109/fuzzy.1999.790114
Full Text
Abstract

Available in full text

Date
Authors
Publisher

IEEE

Related search

Towards Solving Similarity Search Problems Using Fuzzy Concept for Multi-Dimensional Data

2009English

An Efficient Method for Extracting Fuzzy Classification Rules From High Dimensional Data

Journal of Advanced Computational Intelligence and Intelligent Informatics
Computer VisionPattern RecognitionHuman-Computer InteractionArtificial Intelligence
1997English

A Hybrid Intelligent Search Algorithm for Automatic Test Data Generation

Mathematical Problems in Engineering
MathematicsEngineering
2015English

A Filter-Based Evolutionary Approach for Selecting Features in High-Dimensional Micro-Array Data

IFIP Advances in Information and Communication Technology
Computer NetworksInformation SystemsManagementCommunications
2010English

A Hybrid Algorithm Based on Binary Chemical Reaction Optimization and Tabu Search for Feature Selection of High-Dimensional Biomedical Data

Tsinghua Science and Technology
Multidisciplinary
2018English

Hybrid Modelling of Fuzzy Data Using Linear Predictive Equations and Fuzzy Reasoning Rules

Journal of Japan Society for Fuzzy Theory and Systems
1992English

Charting Perceptual Spaces With Fuzzy Rules

2019English

Data Selection and Fuzzy-Rules Generation for Short-Term Load Forecasting Using ANFIS

Telkomnika
Electronic EngineeringElectrical
2016English

Hybrid Tabu Search for Fuzzy Job Shop

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy