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  • © 2017

Intelligence Systems in Environmental Management: Theory and Applications

  • Uses recently developed intelligent techniques such as genetic algorithms, neural networks, ant colony optimization, swarm optimization, Tabu search, fuzzy sets etc.
  • Focuses on the latest developments and problems in sustainable and green environmental management, renewable energy resources and hybrid systems
  • Gathers recent research, studies and solutions
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 113)

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xx
  2. Introduction to Intelligence Techniques in Environmental Management

    • Cengiz Kahraman, İrem Uçal Sarı
    Pages 1-18
  3. Waste Management

    1. Front Matter

      Pages 19-19
    2. An Intuitionistic Fuzzy MCDM Approach for Effective Hazardous Waste Management

      • Gülçin Büyüközkan, Fethullah Gocer
      Pages 21-40
    3. A Norm-Aware Multi-agent System for Social Simulations in a River Basin

      • Ignasi Gómez-Sebastià, Luis Oliva-Felipe, Ulises Cortés, Marta Verdaguer, Manel Poch, Ignasi Rodríguez-Roda et al.
      Pages 67-90
    4. Decision Making in Solid Waste Management Under Fuzzy Environment

      • Selman Karagoz, Nezir Aydin, Erkan Isikli
      Pages 91-115
  4. Disaster Response Management

    1. Front Matter

      Pages 117-117
    2. Application of Fuzzy Rules to the Decision Process in Crisis Management: The Case of the Silesian District in Poland

      • Dorota Kuchta, Stanisław Stanek, Stanisław Drosio, Barbara Gładysz
      Pages 119-133
    3. Maritime Environmental Disaster Management Using Intelligent Techniques

      • Emre Akyuz, Esra Ilbahar, Selcuk Cebi, Metin Celik
      Pages 135-155
  5. Energy Management

    1. Front Matter

      Pages 157-157
    2. Modelling Solar Energy Usage with Fuzzy Cognitive Maps

      • Veysel Çoban, Sezi Çevik Onar
      Pages 159-187
  6. Sustainability

    1. Front Matter

      Pages 255-255
    2. Cumulative Belief Degrees Approach for Assessment of Sustainable Development

      • Hazal Ünlüçay, Beyzanur Çayır Ervural, Bilal Ervural, Özgür Kabak
      Pages 257-289
  7. Environmental Economics

    1. Front Matter

      Pages 313-313

About this book

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.

Editors and Affiliations

  • Fac. Management, Dept of Industrial Engg, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  • Magt Facu, Department of Industrial Engd, Istanbul Technical University, Istanbul, Turkey

    İrem Uçal Sari

Bibliographic Information

  • Book Title: Intelligence Systems in Environmental Management: Theory and Applications

  • Editors: Cengiz Kahraman, İrem Uçal Sari

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-42993-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2017

  • Hardcover ISBN: 978-3-319-42992-2Published: 12 September 2016

  • Softcover ISBN: 978-3-319-82712-4Published: 14 June 2018

  • eBook ISBN: 978-3-319-42993-9Published: 03 September 2016

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XX, 468

  • Number of Illustrations: 26 b/w illustrations, 63 illustrations in colour

  • Topics: Computational Intelligence, Environmental Management, Renewable and Green Energy, Artificial Intelligence

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access