Intelligence Systems in Environmental Management: Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 113
Release date:	June 2018
First published:	2017
Editors:	Cengiz Kahraman • Irem Ucal Sari
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Paperback
Pages:	468
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-82712-4
Categories:	Books > Earth & environment > The environment > Management of land & natural resources Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-82712-X
Barcode:	9783319827124

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