| 书目名称 | Quantifying Environmental Impact Assessments Using Fuzzy Logic |
| 编辑 | Richard B. Shepard |
| 视频video | |
| 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 |
| 丛书名称 | Springer Series on Environmental Management |
| 图书封面 |  |
| 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 |
| 关键词 | Artificial Intelligence; Assessment; Environmental; Impact; Scoping; Shepard; fuzzy logic; linear optimizat |
| 版次 | 1 |
| doi | https://doi.org/10.1007/0-387-28098-7 |
| isbn_softcover | 978-1-4419-2029-4 |
| isbn_ebook | 978-0-387-28098-1Series ISSN 0172-6161 Series E-ISSN 2512-5559 |
| issn_series | 0172-6161 |
| copyright | Springer-Verlag New York 2005 |
发表于 2025-3-21 19:43:16
