Advertisement

Fuzzy Collaborative Forecasting and Clustering

Methodology, System Architecture, and Applications

  • Tin-Chih Toly Chen
  • Katsuhiro Honda
Book

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

Table of contents

  1. Front Matter
    Pages i-ix
  2. Tin-Chih Toly Chen, Katsuhiro Honda
    Pages 1-8
  3. Tin-Chih Toly Chen, Katsuhiro Honda
    Pages 9-26
  4. Tin-Chih Toly Chen, Katsuhiro Honda
    Pages 27-44
  5. Tin-Chih Toly Chen, Katsuhiro Honda
    Pages 45-58
  6. Tin-Chih Toly Chen, Katsuhiro Honda
    Pages 59-72
  7. Tin-Chih Toly Chen, Katsuhiro Honda
    Pages 73-88
  8. Back Matter
    Pages 89-89

About this book

Introduction


Keywords

Fuzzy Collaborative Intelligence Forecasting Clustering Applied Soft Computing Big Data Analysis Fuzzy Collaborative System Collaborative Fuzzy Modelling Collaborative Computing Intelligence Disparate Data Sources Multiple Expert Decision Making

Authors and affiliations

  • Tin-Chih Toly Chen
    • 1
  • Katsuhiro Honda
    • 2
  1. 1.Department of Industrial Engineering and ManagementNational Chiao Tung UniversityHsinchuTaiwan
  2. 2.Graduate School of EngineeringOsaka Prefecture UniversitySakaiJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-22574-2
  • 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 978-3-030-22573-5
  • Online ISBN 978-3-030-22574-2
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering