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- Sofort-KaufenQuantifizierung von Umweltverträglichkeitsprüfungen mit Fuzzy Logic von R B Shepard HC
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eBay-Artikelnr.:395250500689
Artikelmerkmale
- Artikelzustand
- ISBN
- 9780387243986
Über dieses Produkt
Product Identifiers
Publisher
Springer New York
ISBN-10
0387243984
ISBN-13
9780387243986
eBay Product ID (ePID)
45105114
Product Key Features
Number of Pages
Xxiv, 264 Pages
Publication Name
Quantifying Environmental Impact Assessments Using Fuzzy Logic
Language
English
Subject
Life Sciences / Ecology, Environmental Science (See Also Chemistry / Environmental), Logic, Applied
Publication Year
2005
Type
Textbook
Subject Area
Mathematics, Science
Series
Springer Series on Environmental Management Ser.
Format
Hardcover
Dimensions
Item Height
0.3 in
Item Weight
45.5 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2005-040214
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
333.71/4
Table Of Content
The Traditional Approach.- General Principles.- Scoping.- Baseline Conditions.- Alternatives.- Impact Assessment.- Writing the Impact Statement.- The Modern Approach.- Moving to the New Paradigm.- to Fuzzy Sets and Logic.- Environmental Conditions.- Impact Inference and Assessment.- Multi-Objective, Multi-Criteria Decision-Making.- Application.- Scoping.- Baseline Environment.- Project Alternatives.- Results and Conclusions.
Synopsis
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. 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 actuallypreparing and using environmental assessments--in language that makes the process transparent and transferable to all types of systems., 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. 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., 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.
LC Classification Number
GE1-350
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