Overview
- Introduces numerous bi-level programming models with random-like parameters
- Shows readers how to apply procedures to solve some bi-level programming problems with random-like coefficients
- Helps readers understand the bi-level modelling process and the efficiency of algorithms
- Summarizes the methodological system for random-like bi-level decision making
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 688)
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Table of contents (5 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Zongmin Li obtained her Ph.D. in Management Science and Engineering from Sichuan University.Currently she is an assistant professor in Business School of Sichuan University, Chengdu, China. She was a visiting scholar in Drexel University, LeBow College of Business in 2012.9-2013.9. She is an active scholar in the areas of mathematical modeling, uncertain decision making, algorithm, multi-criteria decision analysis and applications. Her research outputs appear on some international journals such as Omega, Automation in Construction, Knowledge-Based Systems as well as some international conference proceedings.
Zhimiao Tao holds a Ph.D. in Management Science and Engineering from Sichuan University. Currently Dr. Tao is an associate professor in Business School of Sichuan University, Chengdu, China, and a visiting scholar in University of Washington, Seattle. He has published a book “Rough Multiple Objective Decision Making” in Taylor & Francis Press and many papers on international journals, such as Information Sciences, Mathematics and Computers in Simulation, Petroleum Science and Technology respectively. His research interests include rough set theory, bi-level programming and intelligent algorithm.
Bibliographic Information
Book Title: Random-Like Bi-level Decision Making
Authors: Jiuping Xu, Zongmin Li, Zhimiao Tao
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-981-10-1768-1
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media Singapore 2016
Softcover ISBN: 978-981-10-1767-4Published: 30 August 2016
eBook ISBN: 978-981-10-1768-1Published: 29 August 2016
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XI, 401
Number of Illustrations: 60 b/w illustrations
Topics: Mathematics of Computing, Probability Theory and Stochastic Processes, Statistics and Computing/Statistics Programs, Algorithm Analysis and Problem Complexity, Mathematics of Algorithmic Complexity, Programming Techniques