Overview
- Recent research in Ecosystem Assessment and Fuzzy Systems Management
- Presents new insights in Fuzzy System, Fuzzy Information and Engineering, Operation Research and Management
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 254)
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Table of contents (47 chapters)
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Front Matter
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Ecosystem Assessment, Management and Information
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Front Matter
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Intelligent Algorithm, Fuzzy Optimization and Engineering Application
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Front Matter
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Keywords
About this book
“Ecosystem Assessment and Fuzzy Systems Management” is the edited outcome of the 3rd International Conference on Ecosystem Assessment Management (ICEAM) and the Workshop on the Construction of an Early Warning Platform for Eco-tourism (WCEWPE) in Hainan on May 5-12, 2013, Haikou, China. The 3rd ICEAM and the WCEWPE, built on the success of previous conferences, are major Symposiums for scientists, engineers and logistic management researchers presenting their the latest achievements, developments and applications in all areas of Ecosystem Assessment Management, Early Warning Platform for Eco-tourism and fuzziology. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists. The book, containing 47 papers, is divided into five parts: “Ecosystem Assessment, Management and Information”; “Intelligent Algorithm, Fuzzy Optimization and Engineering Application”; “Spatial Data Analysis and Intelligent Information Processing”; “Tourism Culture, Development and Planning” and “Application of Operations Research and Fuzzy Systems”.
Editors and Affiliations
Bibliographic Information
Book Title: Ecosystem Assessment and Fuzzy Systems Management
Editors: Bing-Yuan Cao, Sheng-Quan Ma, Hu-hua Cao
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-03449-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2014
Softcover ISBN: 978-3-319-03448-5Published: 04 February 2014
eBook ISBN: 978-3-319-03449-2Published: 25 January 2014
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XV, 529
Number of Illustrations: 119 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory