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Random-Like Bi-level Decision Making

  • Jiuping Xu
  • Zongmin Li
  • Zhimiao Tao

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 688)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Jiuping Xu, Zongmin Li, Zhimiao Tao
    Pages 1-75
  3. Jiuping Xu, Zongmin Li, Zhimiao Tao
    Pages 77-197
  4. Jiuping Xu, Zongmin Li, Zhimiao Tao
    Pages 199-282
  5. Jiuping Xu, Zongmin Li, Zhimiao Tao
    Pages 283-364
  6. Jiuping Xu, Zongmin Li, Zhimiao Tao
    Pages 365-386
  7. Back Matter
    Pages 387-401

About this book

Introduction

Among the various multi-level formulations of mathematical models in decision making processes, this book focuses on the bi-level model. Being the most frequently used, the bi-level model addresses conflicts which exist in multi-level decision making processes. From the perspective of bi-level structure and uncertainty, this book takes real-life problems as the background, focuses on the so-called random-like uncertainty, and develops the general framework of random-like bi-level decision making problems. The random-like uncertainty considered in this book includes random phenomenon, random-overlapped random (Ra-Ra) phenomenon and fuzzy-overlapped random (Ra-Fu) phenomenon. Basic theory, models, algorithms and practical applications for different types of random-like bi-level decision making problems are also presented in this book.

Keywords

Random-like Bi-level MODM Bi-level MODM in Random Phenomenon Bi-level MODM in Ra-Ra Phenomenon Bi-level MODM in Random Fuzzy Phenomenon Equilibria Viewpoints

Authors and affiliations

  • Jiuping Xu
    • 1
  • Zongmin Li
    • 2
  • Zhimiao Tao
    • 3
  1. 1.Business SchoolSichuan UniversityChengduChina
  2. 2.Business SchoolSichuan UniversityChengduChina
  3. 3.Business SchoolSichuan UniversityChengduChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-1768-1
  • Copyright Information Springer Science+Business Media Singapore 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-1767-4
  • Online ISBN 978-981-10-1768-1
  • Series Print ISSN 0075-8442
  • Series Online ISSN 2196-9957
  • Buy this book on publisher's site
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