A Qualitative Decision Support for Environmental Impact Assessment Using Fuzzy Logic

被引：43

作者：

Liu, K. F. R. ^{[1
]}

Liang, H. H. ^{[2
]}

Yeh, K. ^{[3
]}

Chen, C. W. ^{[4
]}

机构：

[1] Ming Chi Univ Technol, Dept Safety Hlth & Environm Engn, Taipei 24301, Taiwan

[2] Natl United Univ, Dept Architecture, Miaoli 36003, Taiwan

[3] De Lin Inst Technol, Dept Construct Engn, Taipei 23654, Taiwan

[4] Shu Te Univ, Dept Logist Management, Kaohsiung 82445, Taiwan

来源：

JOURNAL OF ENVIRONMENTAL INFORMATICS | 2009年 / 13卷 / 02期

关键词：

fuzzy logic; environmental impact assessment; significance; INTEGRATION;

D O I：

10.3808/jei.200900144

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In environmental impact assessment (EIA), experts produce conclusions not only according to scientific data but also political factors and social values. Subjective judgment plays a significant role in EIA. Traditional multi-criteria decision-making methods cannot provide best decision support because they are incapable of modeling qualitative human thinking process. On the other hand, fuzzy logic is widely recognized as a tool with the ability to compute using words to model qualitative human thinking processes in the analysis of complex systems and decisions. This study attempts to utilize fuzzy logic as a decision-support approach for EIA. The evaluation knowledge represented by "if-then" fuzzy rules is employed to measure the significance of environmental impacts. In this paper, 10 indicators and 28 subindicators are considered in the assessment framework using the Taiwan High-Speed Rail System as the case study.

引用

页码：93 / 103

页数：11

共 26 条

[1]

Borri D., 1998, Computers, Environment and Urban Systems, V22, P299, DOI 10.1016/S0198-9715(98)00045-3

[2]

Canter L., 1996, Environmental Impact Assessment. 2Aed

[3]

Canter L.W., 1993, ENVIRON IMPACT ASSES, V13, P275, DOI DOI 10.1016/0195-9255(93)90020-C

[4] Integration of data mining techniques and heuristic knowledge in fuzzy logic modelling of eutrophication in Taihu Lake [J].

Chen, QW ;

Mynett, AE .

ECOLOGICAL MODELLING, 2003, 162 (1-2) :55-67

[5] Systematic comparative and sensitivity analyses of additive and outranking techniques for supporting impact significance assessments [J].

Cloquell-Ballester, Vicente-Agustin ;

Monterde-Diaz, Rafael ;

Cloquell-Ballester, Victor-Andres ;

Santamarina-Siurana, Maria-Cristina .

ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2007, 27 (01) :62-83

[6] A decision support method for environmental impact assessment using a fuzzy logic approach [J].

De Siqueira Campos Boclin, Andr ;

de Mello, Renato .

ECOLOGICAL ECONOMICS, 2006, 58 (01) :170-181

[7] THE SIGNIFICANCE OF ENVIRONMENTAL IMPACTS - AN EXPLORATION OF THE CONCEPT [J].

DUINKER, PN ;

BEANLANDS, GE .

ENVIRONMENTAL MANAGEMENT, 1986, 10 (01) :1-10

[8]

Dzidzornu D.M., 2001, Eur. Environ. Law. Rev, V10, P15

[9] A fuzzy logic approach for the impact assessment in LCA [J].

González, B ;

Adenso-Díaz, B ;

González-Torre, PL .

RESOURCES CONSERVATION AND RECYCLING, 2002, 37 (01) :61-79

[10] Evaluating environmental sustainability: An integration of multiple-criteria decision-making and fuzzy logic [J].

Liu, Kevin F. R. .

ENVIRONMENTAL MANAGEMENT, 2007, 39 (05) :721-736

← 1 2 3 →