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Type-2 Fuzzy Granular Models

  • Mauricio A. Sanchez
  • Oscar Castillo
  • Juan R. Castro

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-viii
  2. Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
    Pages 1-3
  3. Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
    Pages 5-18
  4. Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
    Pages 19-35
  5. Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
    Pages 37-49
  6. Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
    Pages 51-52
  7. Back Matter
    Pages 53-93

About this book

Introduction

In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based. And a fuzzy granular application comparison is given as to demonstrate the differences in how uncertainty affects the performance of fuzzy information granules.

Keywords

Computational Intelligence Fuzzy Sets Fuzzy Aggregation Granular Computing Type-2 Fuzzy Granular Models

Authors and affiliations

  • Mauricio A. Sanchez
    • 1
  • Oscar Castillo
    • 2
  • Juan R. Castro
    • 3
  1. 1.Faculty of Chemical Sciences and EngineeAutonomous University of Baja California Faculty of Chemical Sciences and EngineeTijuanaMexico
  2. 2.Division of Graduate StudiesTijuana Institute of Technology Division of Graduate StudiesTijuanaMexico
  3. 3.Faculty of Chemical Sciences and EngineeAutonomous University of Baja California Faculty of Chemical Sciences and EngineeTijuanaMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-41288-7
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-41287-0
  • Online ISBN 978-3-319-41288-7
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site