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Understanding Fuzzy Expert System with Real Example in Easy Step: What is the Inside of Real Fuzzy Expert System? - Couverture souple

Farshchi, Seyyed Mohammad Reza; Toosizadeh, Saeed

 
9783844391572: Understanding Fuzzy Expert System with Real Example in Easy Step: What is the Inside of Real Fuzzy Expert System?
Couverture souple
ISBN 10 : 3844391576 ISBN 13 : 9783844391572
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

In this book, we will explore the emulation of human thought, capable of dealing with uncertainties, ambiguities, and contradictions. The human thought can be expressed in rules. To handle uncertainties, ambiguities, and contradictions, we will use fuzzy system techniques, implemented by a fuzzy expert system. Expert systems are computer programs, designed to make available some of the skills of an expert to non-experts. The hundreds of edited works and tens of thousands of archival papers show clearly that this is a rapidly growing technology, where new discoveries are being published every month. It remains our fervent hope that this introductory textbook will assist students and practicing professionals to learn, to apply, and to be comfortable with fuzzy expert system and fuzzy logic. We implements two real case study with more detail, so the reader being able to create desired fuzzy expert system after the short period of reading this book.

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À propos des auteurs

S.M.R Farshchi received the B.S. and M.S. degrees in Artificial Intelligence and computer engineering in 2010 and 2008, respectively. Currently, he is a Associate Professor in the Department of Information Engineering, Iran University of technology, Tehran. His research interests include robotics, machine learning, and statistical regression.

S.M.R Farshchi received the B.S. and M.S. degrees in Artificial Intelligence and computer engineering in 2010 and 2008, respectively. Currently, he is a Associate Professor in the Department of Information Engineering, Iran University of technology, Tehran. His research interests include robotics, machine learning, and statistical regression.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844391576
ISBN 13 
9783844391572
Reliure
Broché
Nombre de pages
176
Coordonnées du fabricant
non disponible
Personne responsable
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