A decision support method for environmental impact assessment using a fuzzy logic approach

被引：46
作者：
De Siqueira Campos Boclin, Andr
de Mello, Renato
机构：
[1] Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis, IBAMA
[2] Fundacao de Apoio a Pesquisa Cientifica e Tecnologica do Estado de Santa Catarina, FAPESC.
来源：
ECOLOGICAL ECONOMICS | 2006年 / 58卷 / 01期
关键词：
environmental impact assessment; decision support; environmental indicators; fuzzy logic;
D O I：
10.1016/j.ecolecon.2005.06.007
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
This paper presents a decision support method for environmental impact assessment, using a fuzzy logic computational approach. It aims at offering stakeholders a way to operate fuzzy and crisp variables and make inferences from resultant values of the systemic indicator as well as environmental, cultural, social and economic thematic indicators. The method was tested in the Environmental Protection Area of Anhatomirim (Santa Catarina state, Brazil) forecasting alternative future scenarios for the adaptation of a highway route and paving project. (c) 2005 Elsevier B.V. All rights reserved.
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收藏
页码：170 / 181
页数：12
相关论文
共 11 条
[1]  
*AMB CONS PLAN LTD, 1997, EST IMP AMB EIA REL
[2]  
BUENO MDD, 2003, THESIS UERJ
[3]   Evolutionary design of fuzzy logic controllers [J].
Cotta, C ;
Alba, E ;
Troya, JM .
PROCEEDINGS OF THE 1996 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 1996, :127-132
[4]   Fuzzy decision trees: Issues and methods [J].
Janikow, CZ .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1998, 28 (01) :1-14
[5]  
KOTHARI R, 2001, IEEE T FUZZY SYSTEMS, V9
[6]   Fuzzy methods for assessing criteria and indicators of sustainable forest management [J].
Mendoza, GA ;
Prabhu, R .
ECOLOGICAL INDICATORS, 2004, 3 (04) :227-236
[7]  
MORI E, 1998, THESIS U FEDERAL SAN
[8]   A complete fuzzy decision tree technique [J].
Olaru, C ;
Wehenkel, L .
FUZZY SETS AND SYSTEMS, 2003, 138 (02) :221-254
[9]   FUZZY SETS [J].
ZADEH, LA .
INFORMATION AND CONTROL, 1965, 8 (03) :338-&
[10]  
Zimmermann HJ., 2011, Fuzzy Set Theory-and Its Applications
12