Advertisement

Theory and Practice of Uncertain Programming

  • Baoding Liu

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 102)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Fundamentals

    1. Front Matter
      Pages 1-1
    2. Baoding Liu
      Pages 3-16
    3. Baoding Liu
      Pages 17-27
    4. Baoding Liu
      Pages 29-36
  3. Stochastic Programming

    1. Front Matter
      Pages 37-37
    2. Baoding Liu
      Pages 39-58
    3. Baoding Liu
      Pages 59-75
    4. Baoding Liu
      Pages 115-143
  4. Fuzzy Programming

    1. Front Matter
      Pages 145-145
    2. Baoding Liu
      Pages 147-165
    3. Baoding Liu
      Pages 167-176
    4. Baoding Liu
      Pages 177-196
    5. Baoding Liu
      Pages 197-208
    6. Baoding Liu
      Pages 209-222
  5. Rough Programming

    1. Front Matter
      Pages 223-223
    2. Baoding Liu
      Pages 225-236
    3. Baoding Liu
      Pages 237-248
  6. Fuzzy Random Programming

    1. Front Matter
      Pages 249-249
    2. Baoding Liu
      Pages 251-266
    3. Baoding Liu
      Pages 267-271
    4. Baoding Liu
      Pages 283-291
  7. Random Fuzzy Programming

    1. Front Matter
      Pages 293-293
    2. Baoding Liu
      Pages 295-308
    3. Baoding Liu
      Pages 309-313
    4. Baoding Liu
      Pages 327-334
  8. General Principle

    1. Front Matter
      Pages 335-335
    2. Baoding Liu
      Pages 337-347
    3. Baoding Liu
      Pages 349-363
  9. Back Matter
    Pages 365-388

About this book

Introduction

Real-life decisions are usually made in the state of uncertainty (randomness, fuzziness, roughness, etc.). How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory. It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem, inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

Keywords

Autodesk Inventor Fuzzy Set Theory Stchastic Programming algorithm algorithms fuzziness genetic algorithms model modeling neural networks operations research optimization programming scheduling uncertainty

Authors and affiliations

  • Baoding Liu
    • 1
  1. 1.Uncertain Systems Laboratory, Department of Mathematical SciencesTsinghua UniversityBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1781-2
  • Copyright Information Physica-Verlag Heidelberg 2002
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-13196-1
  • Online ISBN 978-3-7908-1781-2
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site