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Quantifying Environmental Impact Assessments Using Fuzzy Logic
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Quantifying Environmental Impact Assessments Using Fuzzy Logic Hardcover - 2005

by Richard B. Shepard


From the publisher

Environmental impact assessments are required for a wide-range of projects throughout the world. The author places special emphasis on the types of issues that frequently arise in NEPA environmental assessments and environmental impact statements and for similar regulations that are used in jurisdictions regionally and internationally. First, issues related to current environmental impact assessment methods are discussed. Then, the book discusses how lessons learned from computational science can address these problems. It describes how a systematic, logical approach to environmental assessment can be applied to a variety of complex situations. Finally, a detailed case study of designing and implementing a more objective and powerful assessment is demonstrated. Explanations of fuzzy logic methods and discussions of helpful software are intended to benefit those people actually preparing and using environmental assessments--in language that makes the process transparent and transferable to all types of systems.

First line

The underlying reason for environmental impact assessments is the desire to identify, evaluate and predict the physical, chemical, biological, social and economic effects of industrial and development activities on the existing environment.

From the rear cover

Environmental impact assessments are required for a wide range of projects throughout the world. These assessments have increasingly involved complex, political decision-making and incorporated values and beliefs of both stakeholders and interested parties. However, the results are often ineffective because values and beliefs are not easily quantifiable, and decisions are considered subjective. This analysis recognizes these problems and proposes practical methods based on fuzzy logic that will enable people preparing assessments to define terms and quantify opinions and input so that they are agreed upon by all involved parties. Fuzzy logic also quantifies the complex environmental, economic and social conditions that are present and are predicted by project alternatives. The author places special emphasis on the types of issues that frequently arise in NEPA environmental assessments and environmental impact statements and in similar regulations that are used in jurisdictions regionally and internationally. The new methods are intended to reduce the time and cost of assessments, while producing justifiable and legally defensible results.

First, issues related to current environmental impact assessment methods are discussed. Then the book discusses how lessons learned from computational intelligence can address these problems. It describes how a systematic, logical approach to environmental assessment can be applied to a variety of complex situations. Finally, the design and implementation of a more objective and powerful assessment is demonstrated through a worked example. Explanations of computational intelligence techniques and discussions of helpful software are intended to benefit those people actually preparing and using environmental assessments--in language that makes the process transparent and transferable to all types of systems.

Details

  • Title Quantifying Environmental Impact Assessments Using Fuzzy Logic
  • Author Richard B. Shepard
  • Binding Hardcover
  • Edition 1st
  • Pages 264
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Date 2005-06-23
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • ISBN 9780387243986 / 0387243984
  • Weight 1.18 lbs (0.54 kg)
  • Dimensions 9.62 x 6.34 x 0.76 in (24.43 x 16.10 x 1.93 cm)
  • Themes
    • Topical: Ecology
  • Library of Congress subjects Environmental impact analysis, Fuzzy logic
  • Library of Congress Catalog Number 2005040214
  • Dewey Decimal Code 333.714

About the author

Richard B. Shepard, Ph.D., is President of Applied Ecosystem Services, Inc.
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Quantifying Environmental Impact Assessments Using Fuzzy Logic
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Quantifying Environmental Impact Assessments Using Fuzzy Logic

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