Adjustment of Membership Functions, Generation and Reduction of Fuzzy Rule Base From Numerical Data

Malaysian Journal of Computer Science - Malaysia
doi 10.22452/mjcs.vol20no2.4
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Univ. of Malaya

Related search

Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation

Journal of Intelligent and Fuzzy Systems
EngineeringStatisticsProbabilityArtificial Intelligence
2019English

Automatic Methods for Generation of Type-1 and Interval Type-2 Fuzzy Membership Functions

Journal of Computer Science
Computer NetworksSoftwareArtificial IntelligenceCommunications
2015English

A Review of Developments From Fuzzy Rule Bases to Fuzzy Functions

2012English

A Fast and Accurate Rule-Base Generation Method for Mamdani Fuzzy Systems

IEEE Transactions on Fuzzy Systems
ControlSystems EngineeringApplied MathematicsMathematicsComputational TheoryArtificial Intelligence
2018English

Membership Functions for Fuzzy Focal Elements

Archives of Control Sciences
2016English

Studies on Interpolative Fuzzy Reasoning and Fuzzy Rule Generation

Journal of Japan Society for Fuzzy Theory and Systems
1997English

An Acquisition Method of Membership Functions and Fuzzy Reasoning Rules by Fuzzy Neural Network

IEEJ Transactions on Electronics, Information and Systems
Electronic EngineeringElectrical
1994English

Aggregation of Inconsistent Rules for Fuzzy Rule Base Simplification

International Journal of Knowledge-Based and Intelligent Engineering Systems
ControlSystems EngineeringArtificial IntelligenceSoftware
2017English

Figure 8: Fuzzy Rule Set of the Rule Base of the Inference System.

English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy