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Titlebook: Quantifying Environmental Impact Assessments Using Fuzzy Logic; Richard B. Shepard Book 2005 Springer-Verlag New York 2005 Artificial Inte

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書目名稱Quantifying Environmental Impact Assessments Using Fuzzy Logic
編輯Richard B. Shepard
視頻videohttp://file.papertrans.cn/781/780760/780760.mp4
概述Discusses how lessons learned from computational science can address the current problems of environmental impact assessment.Describes how a systematic, logical approach to environmental assessment ca
叢書名稱Springer Series on Environmental Management
圖書封面Titlebook: Quantifying Environmental Impact Assessments Using Fuzzy Logic;  Richard B. Shepard Book 2005 Springer-Verlag New York 2005 Artificial Inte
描述.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 m
出版日期Book 2005
關(guān)鍵詞Artificial Intelligence; Assessment; Environmental; Impact; Scoping; Shepard; fuzzy logic; linear optimizat
版次1
doihttps://doi.org/10.1007/0-387-28098-7
isbn_softcover978-1-4419-2029-4
isbn_ebook978-0-387-28098-1Series ISSN 0172-6161 Series E-ISSN 2512-5559
issn_series 0172-6161
copyrightSpringer-Verlag New York 2005
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