Environmental impact assessment based on D numbers

被引：144

作者：

Deng, Xinyang ^{[1
]}

Hu, Yong ^{[2
]}

Deng, Yong ^{[1
,3
]}

Mahadevan, Sankaran ^{[3
]}

机构：

[1] Southwest Univ, Sch Comp & Informat Sci, Chongqing 400715, Peoples R China

[2] Sun Yat Sen Univ, Guangdong Univ Foreign Studies, Inst Business Intelligence & Knowledge Discovery, Guangzhou 510006, Guangdong, Peoples R China

[3] Vanderbilt Univ, Sch Engn, Dept Civil & Environm Engn, Nashville, TN 37235 USA

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2014年 / 41卷 / 02期

基金：

国家高技术研究发展计划(863计划); 中国国家自然科学基金;

关键词：

Environmental impact assessment; D numbers; Dempster-Shafer theory; Uncertainty modeling; LIFE-CYCLE ASSESSMENT; BASIC PROBABILITY ASSIGNMENT; COMBINING BELIEF FUNCTIONS; AGRICULTURAL PRODUCTION; TRANSFORMATION; METHODOLOGY; RECOVERY; DISTANCE; SYSTEMS;

D O I：

10.1016/j.eswa.2013.07.088

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Environmental impact assessment (EIA) is a complex problem influenced by many aspects, such as environmental, social, economic, etc. Due to the involvement of human judgment, various uncertainties are introduced in the EIA process. One critical issue of EIA is the representation and handling of uncertain information. Many different theories are available to deal with uncertainty, however, deficiencies exist in these theories. In this paper, based on a more effective representation of uncertainty, called D numbers, a new method is proposed for the EIA problem. In the proposed method, the assessment results of environmental impacts are expressed and modeled by D numbers. An illustrative case is provided to demonstrate the effectiveness of the proposed method. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：635 / 643

页数：9

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