Intelligence Systems in Environmental Management Theory and Applications is popular PDF and ePub book, written by Cengiz Kahraman in 2016-09-03, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Intelligence Systems in Environmental Management Theory and Applications can be Read Online from any device for your convenience.
Intelligence Systems in Environmental Management Theory and Applications Book PDF Summary
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.
Detail Book of Intelligence Systems in Environmental Management Theory and Applications PDF
- Author : Cengiz Kahraman
- Release : 03 September 2016
- Publisher : Springer
- ISBN : 9783319429939
- Genre : Technology & Engineering
- Total Page : 468 pages
- Language : English
- PDF File Size : 21,7 Mb
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