rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Intelligence Systems in Environmental Management: Theory and Applications
  name:
    name part: Kahraman, Cengiz.
    role:
      role term: editor.
  name:
    name part: Sari, İrem Uçal.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 468 p. 89 illus., 63 illus. in color. online resource.
  abstract: 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. .
  table of contents: Waste Management -- Energy Management -- Sustainability -- Environmental Economics -- Land Use Planning -- Sustainable Transportation.
  note: edited by Cengiz Kahraman, İrem Uçal Sari.
  subject:
    topic: Engineering
  subject:
    topic: Renewable energy resources
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Renewable energy sources
  subject:
    topic: Alternate energy sources
  subject:
    topic: Green energy industries
  subject:
    topic: Environmental management
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Environmental Management
  subject:
    topic: Renewable and Green Energy
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Intelligent Systems Reference Library, 113
  identifier: 9783319429939
  identifier: http://dx.doi.org/10.1007/978-3-319-42993-9
  record info:
    record creation date: 160903
    record change date: 20160903105757.0
    record identifier: 978-3-319-42993-9