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Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic

  • Patricia Melin
  • Gabriela E. Martinez

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Patricia Melin, Gabriela E. Martinez
    Pages 1-3
  3. Patricia Melin, Gabriela E. Martinez
    Pages 5-27
  4. Patricia Melin, Gabriela E. Martinez
    Pages 29-36
  5. Patricia Melin, Gabriela E. Martinez
    Pages 37-51
  6. Patricia Melin, Gabriela E. Martinez
    Pages 53-55
  7. Back Matter
    Pages 57-65

About this book

Introduction

This book presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic. This extension enables it to handle higher levels of uncertainty when adding any number of sources and types of information in a wide variety of decision-making applications. The authors also demonstrate that the extended aggregation operator offers better performance than other traditional or extended operators. The book is a valuables reference resource for students and researchers working on theory and applications of fuzzy logic in various areas of application where decision making is performed under high levels of uncertainty, such as pattern recognition, time series prediction, intelligent control and manufacturing.

Keywords

Computational Intelligence Sugeno Integral Fuzzy Measures Fuzzy Logic Generalized Interval Type-2 Fuzzy Logic Modular Neural Network Face Recognition Edge Detection

Authors and affiliations

  • Patricia Melin
    • 1
  • Gabriela E. Martinez
    • 2
  1. 1.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuanaMexico
  2. 2.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuanaMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-16416-4
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-030-16415-7
  • Online ISBN 978-3-030-16416-4
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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