A modified D numbers methodology for environmental impact assessment

Environmental impact assessment (EIA) is usually evaluated by many factors influenced by various kinds of uncertainty or fuzziness. As a result, the key issues of EIA problem are to rep­resent and deal with the uncertain or fuzzy information. D numbers theory, as the extension of Dempster-Shafer th...

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Main Authors: Ningkui Wang, Daijun Wei
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2018-03-01
Series:Technological and Economic Development of Economy
Subjects:
EIA
Online Access:http://journals.vgtu.lt/index.php/TEDE/article/view/119
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spelling doaj-1b9965f6598e41eb8b1d2572e1e9619a2021-07-02T17:11:57ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212018-03-0124210.3846/20294913.2016.1216018A modified D numbers methodology for environmental impact assessmentNingkui Wang0Daijun Wei1School of Science, Hubei University for Nationalities, Enshi, Hubei, 445000, ChinaSchool of Science, Hubei University for Nationalities, Enshi, Hubei, 445000, China Environmental impact assessment (EIA) is usually evaluated by many factors influenced by various kinds of uncertainty or fuzziness. As a result, the key issues of EIA problem are to rep­resent and deal with the uncertain or fuzzy information. D numbers theory, as the extension of Dempster-Shafer theory of evidence, is a desirable tool that can express uncertainty and fuzziness, both complete and incomplete, quantitative or qualitative. However, some shortcomings do exist in D numbers combination process, the commutative property is not well considered when multiple D numbers are combined. Though some attempts have made to solve this problem, the previous method is not appropriate and convenience as more information about the given evaluations rep­resented by D numbers are needed. In this paper, a data-driven D numbers combination rule is proposed, commutative property is well considered in the proposed method. In the combination process, there does not require any new information except the original D numbers. An illustrative example is provided to demonstrate the effectiveness of the method. First published online: 09 May 2017 http://journals.vgtu.lt/index.php/TEDE/article/view/119D numbers theoryEIAdecision makinguncertaintyincompletenessfuzziness
collection DOAJ
language English
format Article
sources DOAJ
author Ningkui Wang
Daijun Wei
spellingShingle Ningkui Wang
Daijun Wei
A modified D numbers methodology for environmental impact assessment
Technological and Economic Development of Economy
D numbers theory
EIA
decision making
uncertainty
incompleteness
fuzziness
author_facet Ningkui Wang
Daijun Wei
author_sort Ningkui Wang
title A modified D numbers methodology for environmental impact assessment
title_short A modified D numbers methodology for environmental impact assessment
title_full A modified D numbers methodology for environmental impact assessment
title_fullStr A modified D numbers methodology for environmental impact assessment
title_full_unstemmed A modified D numbers methodology for environmental impact assessment
title_sort modified d numbers methodology for environmental impact assessment
publisher Vilnius Gediminas Technical University
series Technological and Economic Development of Economy
issn 2029-4913
2029-4921
publishDate 2018-03-01
description Environmental impact assessment (EIA) is usually evaluated by many factors influenced by various kinds of uncertainty or fuzziness. As a result, the key issues of EIA problem are to rep­resent and deal with the uncertain or fuzzy information. D numbers theory, as the extension of Dempster-Shafer theory of evidence, is a desirable tool that can express uncertainty and fuzziness, both complete and incomplete, quantitative or qualitative. However, some shortcomings do exist in D numbers combination process, the commutative property is not well considered when multiple D numbers are combined. Though some attempts have made to solve this problem, the previous method is not appropriate and convenience as more information about the given evaluations rep­resented by D numbers are needed. In this paper, a data-driven D numbers combination rule is proposed, commutative property is well considered in the proposed method. In the combination process, there does not require any new information except the original D numbers. An illustrative example is provided to demonstrate the effectiveness of the method. First published online: 09 May 2017
topic D numbers theory
EIA
decision making
uncertainty
incompleteness
fuzziness
url http://journals.vgtu.lt/index.php/TEDE/article/view/119
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