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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Vilnius Gediminas Technical University
2018-03-01
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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
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topic |
D numbers theory EIA decision making uncertainty incompleteness fuzziness |
url |
http://journals.vgtu.lt/index.php/TEDE/article/view/119 |
work_keys_str_mv |
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