Quantifying environmental impact assessments using fuzzy logic /
Environmental impact assessments are required for a wide-range of projects throughout the world. These assessments have increasing involved complex, political decision-making and incorporated values and beliefs of both stakeholders and interested parties. However, the results are often ineffective b...
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York :
Springer,
[2005]
|
| Series: | Springer series on environmental management.
|
| Subjects: | |
| Online Access: | ebrary MyiLibrary SpringerLink Table of contents Contributor biographical information Publisher description |
| Summary: | Environmental impact assessments are required for a wide-range of projects throughout the world. These assessments have increasing 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 results. -- Publisher description. |
|---|---|
| Physical Description: | xxiii, 264 pages : illustrations ; 25 cm. |
| Bibliography: | Includes bibliographical references (pages 255-258) and index. |
| ISBN: | 0387243984 9780387243986 |