Intelligence Systems in Environmental Management: Theory and Applications

1. Auflage 2017
ISBN: 978-3-319-42992-2
Verlag: Springer International Publishing

Buch, Englisch, Band 113, 468 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 8513 g

Reihe: Intelligent Systems Reference Library

This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.

Zielgruppe

Research

Autoren/Hrsg.

Sari, ¿rem Uçal

Kahraman, Cengiz

Sari, Irem Uçal

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien

Inhaltsverzeichnis

Waste Management.- Energy Management.- Sustainability.- Environmental Economics.- Land Use Planning.- Sustainable Transportation.