The Search is performed on all of the following fields:
Note: Please use complete words only.

Publication Title

Abstract

Publication Keywords

DOI

Proceeding Title

Proceeding Foreword

ISBN (Completed)

Insticc Ontology

Author Affiliation

Author Name

Editor Name

If you're looking for an exact phrase use quotation marks on text fields.

Paper

DEVELOPMENT OF A FUZZY CALCULATOR FOR CONTINUOUS FUNCTIONS OF NON-INTERACTIVE FUZZY VARIABLESTopics: Approximate Reasoning and Fuzzy Inference; Fuzzy Information Processing, Fusion, Text Mining; Soft Computing and Intelligent Agents

Related
Ontology
Subjects/Areas/Topics:Approximate Reasoning and Fuzzy Inference
;
Artificial Intelligence
;
Computational Intelligence
;
Fuzzy Information Processing, Fusion, Text Mining
;
Fuzzy Systems
;
Soft Computing
;
Soft Computing and Intelligent Agents

Abstract: The goal of this paper is to develop a Fuzzy Calculator, making it possible to calculate functions of fuzzy intervals, as prescribed by the extension principle of Zadeh. The extension principle can be reversed, resulting in fixed a-levels for which the minimum and the maximum of the function has to be determined. This optimization problem can be tackled by different algorithms: Gradient Descent, SIMPSA, Particle Swarm Optimization and Particle Swarm optimization in combination with Gradient Descent. Two approaches are used to determine the number of a-levels: it is either fixed to a predetermined value, or it is initially chosen very small and subsequently expanded according to a suitable criterion. Both a non-parallel and a parallel implementation of the Fuzzy Calculator are designed. In the parallel version, communication is used to optimize the internal workings of PSO. The Fuzzy Calculator is applied to a number of test functions. The different combinations of optimization algorithms are evaluated, both by the final result and by the number of required model evaluations. The results indicate that the parallel implementation of the Fuzzy Calculator starting with a small number of a-levels and using PSO with Gradient Descent leads to the most accurate membership function.(More)

The goal of this paper is to develop a Fuzzy Calculator, making it possible to calculate functions of fuzzy intervals, as prescribed by the extension principle of Zadeh. The extension principle can be reversed, resulting in fixed a-levels for which the minimum and the maximum of the function has to be determined. This optimization problem can be tackled by different algorithms: Gradient Descent, SIMPSA, Particle Swarm Optimization and Particle Swarm optimization in combination with Gradient Descent. Two approaches are used to determine the number of a-levels: it is either fixed to a predetermined value, or it is initially chosen very small and subsequently expanded according to a suitable criterion. Both a non-parallel and a parallel implementation of the Fuzzy Calculator are designed. In the parallel version, communication is used to optimize the internal workings of PSO. The Fuzzy Calculator is applied to a number of test functions. The different combinations of optimization algorithms are evaluated, both by the final result and by the number of required model evaluations. The results indicate that the parallel implementation of the Fuzzy Calculator starting with a small number of a-levels and using PSO with Gradient Descent leads to the most accurate membership function.

*Limit of Downloads ExceededJoin SciTePress now to download more papers for free and get access to over
full text papers.

Guests can use SciTePress Digital Library without having a SciTePress account. However, guests have limited access to downloading full text versions of papers and no access to special options.

Guests can use SciTePress Digital Library without having a SciTePress account. However, guests have limited access to downloading full text versions of papers and no access to special options.

Scheerlinck K., Vernieuwe H. and De Baets B. (2010). DEVELOPMENT OF A FUZZY CALCULATOR FOR CONTINUOUS FUNCTIONS OF NON-INTERACTIVE FUZZY VARIABLES.In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 14-20. DOI: 10.5220/0003053800140020

@conference{icfc10, author={Karolien Scheerlinck and Hilde Vernieuwe and Bernard De Baets}, title={DEVELOPMENT OF A FUZZY CALCULATOR FOR CONTINUOUS FUNCTIONS OF NON-INTERACTIVE FUZZY VARIABLES}, booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010)}, year={2010}, pages={14-20}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0003053800140020}, isbn={978-989-8425-32-4}, }

TY - CONF

JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010) TI - DEVELOPMENT OF A FUZZY CALCULATOR FOR CONTINUOUS FUNCTIONS OF NON-INTERACTIVE FUZZY VARIABLES SN - 978-989-8425-32-4 AU - Scheerlinck K. AU - Vernieuwe H. AU - De Baets B. PY - 2010 SP - 14 EP - 20 DO - 10.5220/0003053800140020