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Intelligence systems in environmenta...

Kahraman, Cengiz.

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Intelligence systems in environmental management = theory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligence systems in environmental management/ edited by Cengiz Kahraman, Irem Ucal Sari.
Reminder of title:	theory and applications /
other author:	Kahraman, Cengiz.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xx, 468 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Waste Management -- Energy Management -- Sustainability -- Environmental Economics -- Land Use Planning -- Sustainable Transportation.
Contained By:	Springer eBooks
Subject:	Environmental management - Data processing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-42993-9
ISBN:	9783319429939

Intelligence systems in environmental management = theory and applications /
Intelligence systems in environmental managementtheory and applications /[electronic resource] :edited by Cengiz Kahraman, Irem Ucal Sari. - Cham :Springer International Publishing :2017. - xx, 468 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v.1131868-4394 ;. - Intelligent systems reference library ;v.113..

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

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.

ISBN: 9783319429939

Standard No.: 10.1007/978-3-319-42993-9doiSubjects--Topical Terms:

548533
Environmental management
--Data processing.

LC Class. No.: GE300

Dewey Class. No.: 333.7028563

Intelligence systems in environmental management = theory and applications /
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245 0 0 $a Intelligence systems in environmental management $h [electronic resource] : $b theory and applications / $c edited by Cengiz Kahraman, Irem Ucal Sari.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xx, 468 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.113
505 0 $a Waste Management -- Energy Management -- Sustainability -- Environmental Economics -- Land Use Planning -- Sustainable Transportation.
520 $a 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.
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