A New Approach to the Synthesis of Fuzzy Systems from Input-Output Data

Fuzzy logic has been applied successfully to systems modeling for ages. One of its main advantages is that it provides an understandable knowledge representation. Nevertheless, most investigations have focused their efforts on achieving accurate models and by doing so, they have omitted the linguist...

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Detalles Bibliográficos
Autor: Garriga Berga, Carles
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2005
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/9147
Acceso en línea:http://www.tdx.cat/TDX-1116105-110034
http://hdl.handle.net/10803/9147
Access Level:acceso abierto
Palabra clave:Lògica difusa
intelligible modeling
modelat intel.ligible
modelado inteligible
Lógica difusa
Fuzzy logic
Intel.ligència artificial
62
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spelling A New Approach to the Synthesis of Fuzzy Systems from Input-Output DataGarriga Berga, CarlesLògica difusaintelligible modelingmodelat intel.ligiblemodelado inteligibleLógica difusaFuzzy logicIntel.ligència artificial62Fuzzy logic has been applied successfully to systems modeling for ages. One of its main advantages is that it provides an understandable knowledge representation. Nevertheless, most investigations have focused their efforts on achieving accurate models and by doing so, they have omitted the linguistic capabilities of fuzzy logic.<br/><br/>This thesis researches into the issues related to intelligible fuzzy models, because since science demonstrated the use of fuzzy logic when searching optimal models in terms of error (in fact a fuzzy model is a universal approximator), some but few investigators have focused their efforts in order to achieve really intelligible models in spite of losing some accuracy.<br/><br/>In this work we propose a whole methodology able to find an intelligible fuzzy model in a local manner (rule by rule) from input-output data. In this sense we find the number and position of the necessary fuzzy sets and also the linguistic rules related to them. For this purpose we have developed a hierarchical process which takes into account several steps and techniques, some of which are original contributions.<br/><br/>The resulting method is very simple and also intelligible. Therefore, this solution performs the final models with a low computational cost, but furthermore, allows the tuning of its different options depending on the nature of the problem and the characteristics of the users.<br/><br/>In this thesis we explain the whole methodology and illustrate its advantages (but also its problems) with several examples which are benchmarks in most cases.Universitat Ramon LlullVilasís Cardona, XavierUniversitat Ramon Llull. La Salle2011200520052005info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://www.tdx.cat/TDX-1116105-110034http://hdl.handle.net/10803/9147TDX (Tesis Doctorals en Xarxa)reponame:TDR. Tesis Doctorales en Redinstname:CBUC, CESCAInglésADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs.info:eu-repo/semantics/openAccessoai:www.tdx.cat:10803/91472026-06-14T12:46:07Z
dc.title.none.fl_str_mv A New Approach to the Synthesis of Fuzzy Systems from Input-Output Data
title A New Approach to the Synthesis of Fuzzy Systems from Input-Output Data
spellingShingle A New Approach to the Synthesis of Fuzzy Systems from Input-Output Data
Garriga Berga, Carles
Lògica difusa
intelligible modeling
modelat intel.ligible
modelado inteligible
Lógica difusa
Fuzzy logic
Intel.ligència artificial
62
title_short A New Approach to the Synthesis of Fuzzy Systems from Input-Output Data
title_full A New Approach to the Synthesis of Fuzzy Systems from Input-Output Data
title_fullStr A New Approach to the Synthesis of Fuzzy Systems from Input-Output Data
title_full_unstemmed A New Approach to the Synthesis of Fuzzy Systems from Input-Output Data
title_sort A New Approach to the Synthesis of Fuzzy Systems from Input-Output Data
dc.creator.none.fl_str_mv Garriga Berga, Carles
author Garriga Berga, Carles
author_facet Garriga Berga, Carles
author_role author
dc.contributor.none.fl_str_mv Vilasís Cardona, Xavier
Universitat Ramon Llull. La Salle
dc.subject.none.fl_str_mv Lògica difusa
intelligible modeling
modelat intel.ligible
modelado inteligible
Lógica difusa
Fuzzy logic
Intel.ligència artificial
62
topic Lògica difusa
intelligible modeling
modelat intel.ligible
modelado inteligible
Lógica difusa
Fuzzy logic
Intel.ligència artificial
62
description Fuzzy logic has been applied successfully to systems modeling for ages. One of its main advantages is that it provides an understandable knowledge representation. Nevertheless, most investigations have focused their efforts on achieving accurate models and by doing so, they have omitted the linguistic capabilities of fuzzy logic.<br/><br/>This thesis researches into the issues related to intelligible fuzzy models, because since science demonstrated the use of fuzzy logic when searching optimal models in terms of error (in fact a fuzzy model is a universal approximator), some but few investigators have focused their efforts in order to achieve really intelligible models in spite of losing some accuracy.<br/><br/>In this work we propose a whole methodology able to find an intelligible fuzzy model in a local manner (rule by rule) from input-output data. In this sense we find the number and position of the necessary fuzzy sets and also the linguistic rules related to them. For this purpose we have developed a hierarchical process which takes into account several steps and techniques, some of which are original contributions.<br/><br/>The resulting method is very simple and also intelligible. Therefore, this solution performs the final models with a low computational cost, but furthermore, allows the tuning of its different options depending on the nature of the problem and the characteristics of the users.<br/><br/>In this thesis we explain the whole methodology and illustrate its advantages (but also its problems) with several examples which are benchmarks in most cases.
publishDate 2005
dc.date.none.fl_str_mv 2005
2005
2005
2011
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/publishedVersion
format doctoralThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv http://www.tdx.cat/TDX-1116105-110034
http://hdl.handle.net/10803/9147
url http://www.tdx.cat/TDX-1116105-110034
http://hdl.handle.net/10803/9147
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat Ramon Llull
publisher.none.fl_str_mv Universitat Ramon Llull
dc.source.none.fl_str_mv TDX (Tesis Doctorals en Xarxa)
reponame:TDR. Tesis Doctorales en Red
instname:CBUC, CESCA
instname_str CBUC, CESCA
reponame_str TDR. Tesis Doctorales en Red
collection TDR. Tesis Doctorales en Red
repository.name.fl_str_mv
repository.mail.fl_str_mv
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