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© 2010

Optimal Models and Methods with Fuzzy Quantities

Benefits

  • Studies optimized model with fuzzy quantities

Book

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 248)

Table of contents

  1. Front Matter
  2. Bing-Yuan Cao
    Pages 1-32
  3. Bing-Yuan Cao
    Pages 95-115
  4. Bing-Yuan Cao
    Pages 117-137
  5. Bing-Yuan Cao
    Pages 139-191
  6. Bing-Yuan Cao
    Pages 193-253
  7. Bing-Yuan Cao
    Pages 255-292
  8. Bing-Yuan Cao
    Pages 293-326
  9. Back Matter

About this book

Introduction

The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition,  Fuzzy Linear Programming, Fuzzy Geometric Programming, Fuzzy Relative Equation and Its Optimizing, Interval and Fuzzy Differential Equations and Interval and Fuzzy Functional and Their Variation.

It can not only be used as teaching materials or reference books for under-graduates in higher education, master graduates and doctor graduates in the courses of applied mathematics, computer science, artificial intelligence, fuzzy information process and automation, operations research, system science and engineering, and the like, but also serves as a reference book for researchers in these fields, particularly, for researchers in soft science.

Keywords

Analysis Regression artificial intelligence automation cognition fuzzy intelligence knowledge linear optimization model operations research programming

Authors and affiliations

  1. 1.Guangzhou Higher EducationMega CenterGuangzhou UniversityGuangzhouPeople’s Republic China

Bibliographic information

  • Book Title Optimal Models and Methods with Fuzzy Quantities
  • Authors Bing-Yuan Cao
  • Series Title Studies in Fuzziness and Soft Computing
  • DOI https://doi.org/10.1007/978-3-642-10712-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-642-10710-8
  • Softcover ISBN 978-3-642-26248-7
  • eBook ISBN 978-3-642-10712-2
  • Series ISSN 1434-9922
  • Series E-ISSN 1860-0808
  • Edition Number 1
  • Number of Pages , 350
  • Number of Illustrations 26 b/w illustrations, 0 illustrations in colour
  • Topics Mathematical and Computational Engineering
    Artificial Intelligence
  • Buy this book on publisher's site
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Reviews

From the reviews:

“Fuzzy modeling and fuzzy optimization come with a significant diversity expressed in terms of the underlying concepts, methodologies, and algorithms. The book consists of 10 chapters and naturally splits into six parts. … Overall, the book is an interesting and useful reading exploring the wealth and capabilities of fuzzy sets in the framework of system modeling and system optimization.”­­­ (Witold Pedrycz, Zentralblatt MATH, Vol. 1196, 2010)