Overview
- Reports on the applications of soft computing methodologies to environmental issues
- Presents novel solutions to a wide range of real-world problems, with a special focus on sustainability
- Describes a set of validated methods for decision-making under conditions of uncertainty and little information
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 358)
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Table of contents (15 chapters)
Keywords
- Global Temperature Rise
- Intelligent Systems for Sustainable Development
- Environmental Impact Assessment
- Energy Efficiency
- Multimodal Transport Systems
- Sustainable Shipping
- Covering Location Problems
- Multivariate Analysis of Spectroscopic Data
- Multi-instance Clustering
- Consumer Clustering Problem
- Fuzzy Outranking Methods
- Preference Disaggregation
- Social Impact Investment
- Determining Watersheds
- Image Segmentation
- Estimating Missing Data
- Linguistic Hierarchies
- Gray-box Models
- Fuzzy Indicators
- Watershed Identification
About this book
This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.
Editors and Affiliations
Bibliographic Information
Book Title: Soft Computing for Sustainability Science
Editors: Carlos Cruz Corona
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-62359-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-62358-0Published: 24 July 2017
Softcover ISBN: 978-3-319-87300-8Published: 18 August 2018
eBook ISBN: 978-3-319-62359-7Published: 12 July 2017
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XVI, 348
Number of Illustrations: 51 b/w illustrations, 32 illustrations in colour
Topics: Computational Intelligence, Sustainability Management, Artificial Intelligence, Calculus of Variations and Optimal Control; Optimization, Sustainable Development