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- The quality of growth is critical to sustaining progress on the planet
- The book provides a critical message from China, one of the most important emerging powers with a far reaching impact on climate change and structural transformation
- The book is a result of a country owned process, emphasizes pro-poor growth, equal opportunities, energy efficiency, renewable energy? sources and environment protection
- Includes supplementary material: sn.pub/extras
Part of the book series: Uncertainty and Operations Research (UOR)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“This book summarizes the basic principles of credibilistic programming and its applications to fuzzy portfolio selection problems. … used as a textbook at the graduate level and also as a reference guide for mathematicians who are interested in credibility theory in a fuzzy environment.” (Rόbert Fullér, Mathematical Reviews, November, 2013)
“The author of this book explores a specialized fuzzy measure and its application for developing solutions to several optimization problems. … this book is inspirational and motivational. It is also a concise, well-written display of definitions, characterizations, and applications for real-life decision making.” (Goran Trajkovski, Computing Reviews, August, 2013)Authors and Affiliations
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Beijing University of Chemical Technolog, Beijing, China, People's Republic
Xiang Li
Bibliographic Information
Book Title: Credibilistic Programming
Book Subtitle: An Introduction to Models and Applications
Authors: Xiang Li
Series Title: Uncertainty and Operations Research
DOI: https://doi.org/10.1007/978-3-642-36376-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-36375-7Published: 10 April 2013
Softcover ISBN: 978-3-642-42717-6Published: 19 May 2015
eBook ISBN: 978-3-642-36376-4Published: 29 March 2013
Series ISSN: 2195-996X
Series E-ISSN: 2195-9978
Edition Number: 1
Number of Pages: IX, 144
Topics: Operations Research/Decision Theory, Artificial Intelligence, Mathematics, general