Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determination
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/20426 |
Resumo: | The sustainable development of cloud service providers (CSPs) is a significant multiple criteria decision making (MCDM) problem, involving the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and decision-experts for the selection of trustworthy CSPs. Most existing MCDM methods for CSP selection incorporated only one normalization technique in benefit and cost criteria, which would mislead the decision results and limit the applications of these methods. In addition, these methods did not consider the reliability of information given by decision-makers. Given these research gaps, this study introduces a Z-number-based double normalization-based multiple aggregation (DNMA) method to tackle quantitative and qualitative criteria in forms of benefit, cost, and target types for sustainable CSP development. We extend the original DNMA method to the Z-number environment to handle the uncertain and unreliability information of decision-makers. To make trade-offs between normalized criteria values, we develop a Gini-coefficient based weighting method to replace the mean-square-based weighting method used in the original DNMA method to enhance the applicability and isotonicity of the DNMA method. A case study is conducted to demonstrate the effectiveness of the proposed method. Furthermore, comparative analysis and sensitivity analysis are implemented to test the stability and applicability of the proposed method. |
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Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determinationMultiple criteria decision makingSustainable developmentCloud service provider selectionDouble normalization-based multiple aggregation (DNMA) methodZ numberGini coefficientThe sustainable development of cloud service providers (CSPs) is a significant multiple criteria decision making (MCDM) problem, involving the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and decision-experts for the selection of trustworthy CSPs. Most existing MCDM methods for CSP selection incorporated only one normalization technique in benefit and cost criteria, which would mislead the decision results and limit the applications of these methods. In addition, these methods did not consider the reliability of information given by decision-makers. Given these research gaps, this study introduces a Z-number-based double normalization-based multiple aggregation (DNMA) method to tackle quantitative and qualitative criteria in forms of benefit, cost, and target types for sustainable CSP development. We extend the original DNMA method to the Z-number environment to handle the uncertain and unreliability information of decision-makers. To make trade-offs between normalized criteria values, we develop a Gini-coefficient based weighting method to replace the mean-square-based weighting method used in the original DNMA method to enhance the applicability and isotonicity of the DNMA method. A case study is conducted to demonstrate the effectiveness of the proposed method. Furthermore, comparative analysis and sensitivity analysis are implemented to test the stability and applicability of the proposed method.MDPI2020-04-27T13:30:27Z2020-01-01T00:00:00Z20202020-04-27T14:29:48Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/20426eng2071-105010.3390/su12083410Lai, H.Liao, H.Šaparauskas, J.Banaitis, A.Ferreira, F.Al-Barakati, A.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:53:11Zoai:repositorio.iscte-iul.pt:10071/20426Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:26:38.192643Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determination |
title |
Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determination |
spellingShingle |
Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determination Lai, H. Multiple criteria decision making Sustainable development Cloud service provider selection Double normalization-based multiple aggregation (DNMA) method Z number Gini coefficient |
title_short |
Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determination |
title_full |
Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determination |
title_fullStr |
Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determination |
title_full_unstemmed |
Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determination |
title_sort |
Sustainable cloud service provider development by a Z-number-based DNMA method with Gini-coefficient-based weight determination |
author |
Lai, H. |
author_facet |
Lai, H. Liao, H. Šaparauskas, J. Banaitis, A. Ferreira, F. Al-Barakati, A. |
author_role |
author |
author2 |
Liao, H. Šaparauskas, J. Banaitis, A. Ferreira, F. Al-Barakati, A. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lai, H. Liao, H. Šaparauskas, J. Banaitis, A. Ferreira, F. Al-Barakati, A. |
dc.subject.por.fl_str_mv |
Multiple criteria decision making Sustainable development Cloud service provider selection Double normalization-based multiple aggregation (DNMA) method Z number Gini coefficient |
topic |
Multiple criteria decision making Sustainable development Cloud service provider selection Double normalization-based multiple aggregation (DNMA) method Z number Gini coefficient |
description |
The sustainable development of cloud service providers (CSPs) is a significant multiple criteria decision making (MCDM) problem, involving the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and decision-experts for the selection of trustworthy CSPs. Most existing MCDM methods for CSP selection incorporated only one normalization technique in benefit and cost criteria, which would mislead the decision results and limit the applications of these methods. In addition, these methods did not consider the reliability of information given by decision-makers. Given these research gaps, this study introduces a Z-number-based double normalization-based multiple aggregation (DNMA) method to tackle quantitative and qualitative criteria in forms of benefit, cost, and target types for sustainable CSP development. We extend the original DNMA method to the Z-number environment to handle the uncertain and unreliability information of decision-makers. To make trade-offs between normalized criteria values, we develop a Gini-coefficient based weighting method to replace the mean-square-based weighting method used in the original DNMA method to enhance the applicability and isotonicity of the DNMA method. A case study is conducted to demonstrate the effectiveness of the proposed method. Furthermore, comparative analysis and sensitivity analysis are implemented to test the stability and applicability of the proposed method. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-27T13:30:27Z 2020-01-01T00:00:00Z 2020 2020-04-27T14:29:48Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/20426 |
url |
http://hdl.handle.net/10071/20426 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2071-1050 10.3390/su12083410 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134829496762368 |