Intelligence systems in environmental management : theory and applications

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,...

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Bibliographic Details
Other Authors Kahraman, Cengiz (Editor), Sari, İrem Uçal (Editor)
Format Electronic eBook
LanguageEnglish
Published Switzerland : Springer, [2016]
SeriesIntelligent systems reference library ; v. 113.
Subjects
Online AccessFull text
ISBN9783319429939
9783319429922
ISSN1868-4394 ;
Physical Description1 online resource (xx, 468 pages) : illustrations (some color)

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245 0 0 |a Intelligence systems in environmental management :  |b theory and applications /  |c Cengiz Kahraman, İrem Uçal Sari, editors. 
264 1 |a Switzerland :  |b Springer,  |c [2016] 
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300 |a 1 online resource (xx, 468 pages) :  |b illustrations (some color) 
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490 1 |a Intelligent systems reference library,  |x 1868-4394 ;  |v volume 113 
504 |a Includes bibliographical references and index. 
505 0 |a Waste Management -- Energy Management -- Sustainability -- Environmental Economics -- Land Use Planning -- Sustainable Transportation. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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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700 1 |a Kahraman, Cengiz,  |e editor. 
700 1 |a Sari, İrem Uçal,  |e editor. 
776 0 8 |i Print version:  |t Intelligence systems in environmental management.  |d Switzerland : Springer, [2016]  |z 3319429922  |z 9783319429922  |w (OCoLC)952154449 
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