TY - BOOK ID - 207035 TI - Quantifying environmental impact assessments using fuzzy logic PY - 2005 SN - 1280634235 9786610634231 0387280987 0387243984 PB - New York : Springer, DB - UniCat KW - Environmental impact analysis. KW - Fuzzy logic. KW - Nonlinear logic KW - Fuzzy mathematics KW - Logic, Symbolic and mathematical KW - Fuzzy systems KW - Analysis of environmental impact KW - Environmental assessment KW - Environmental impact assessment KW - Environmental impact evaluation KW - Impact analysis, Environmental KW - Environmental auditing KW - Environmental monitoring KW - Environmental protection KW - Environmental sciences. KW - Applied Ecology. KW - Environmental law. KW - Regional planning. KW - Environment, general. KW - Math. Appl. in Environmental Science. KW - Monitoring/Environmental Analysis. KW - Environmental Law/Policy/Ecojustice. KW - Landscape/Regional and Urban Planning. KW - Regional development KW - Regional planning KW - State planning KW - Human settlements KW - Land use KW - Planning KW - City planning KW - Landscape protection KW - Environment law KW - Environmental control KW - Environmental quality KW - Environmental policy KW - Law KW - Sustainable development KW - Ecology KW - Nature conservation KW - Environmental science KW - Science KW - Government policy KW - Law and legislation KW - Environment. KW - Applied ecology. KW - Environmental monitoring. KW - Environmental policy. KW - Urban planning. KW - Cities and towns KW - Civic planning KW - Land use, Urban KW - Model cities KW - Redevelopment, Urban KW - Slum clearance KW - Town planning KW - Urban design KW - Urban development KW - Urban planning KW - Art, Municipal KW - Civic improvement KW - Urban policy KW - Urban renewal KW - Environment and state KW - Environmental management KW - State and environment KW - Biomonitoring (Ecology) KW - Ecological monitoring KW - Monitoring, Environmental KW - Applied ecology KW - Environmental engineering KW - Pollution KW - Management KW - Measurement KW - Monitoring KW - Balance of nature KW - Biology KW - Bionomics KW - Ecological processes KW - Ecological science KW - Ecological sciences KW - Environment KW - Environmental biology KW - Oecology KW - Environmental sciences KW - Population biology UR - https://www.unicat.be/uniCat?func=search&query=sysid:207035 AB - 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. ER -