Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model.
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| Title: | Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model. |
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| Authors: | Thi Minh Hang Nguyen1, Nguyen, V. P.2 phuocnv@ptit.edu.vn, Nguyen, D. T.3 |
| Source: | Applied Mathematics in Science & Engineering. Dec2023, Vol. 31 Issue 1, p1-26. 26p. |
| Subjects: | Group decision making, Probabilistic databases, Databases, Prospect theory, Industrial management, Problem solving |
| Geographic Terms: | Vietnam |
| Abstract: | Cloud database services platforms (CDSP) have aided in both the generation of new ideas and the reduction of costs. Choosing the finest CDSP is a critical part of enterprise management for helping businesses respond to increasing market pressure and client demand. This study tried to solve this problem and proposed the integration concept of the TODIM (TOmada de Decisão Interativa e Multicritério) and the probability uncertain linguistic (PUL), which is a typical decision-making technique focused on the theory of prospects (PT-PUL-TODIM). The concept of probability uncertainty linguistic term sets (PULTS) is discussed. The cumulative weight of probabilistic double hierarchy linguistic knowledge is then determined by using the following cumulative prospect theory. Based on the experts' opinions, complex expressions with experience in the Vietnam market were collected and further transformed into a PULTS matrix. However, the CRiteria Importance Through Inter-Criteria Correlation (CRITIC) technique is implemented to calculate the objective criteria weights. The PT-PUL-TODIM optimization approach is developed and adopted for the CDSP. Finally, wecompared other methods and conducted a sensitivity analysis to compare the PT-PUL-TODIM approach with other ways to assess the validity, practicality, and usefulness of the technique, and the comparison revealed the merits and limitations of the model. [ABSTRACT FROM AUTHOR] |
| Copyright of Applied Mathematics in Science & Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Thi+Minh+Hang+Nguyen%22">Thi Minh Hang Nguyen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Nguyen%2C+V%2E+P%2E%22">Nguyen, V. P.</searchLink><relatesTo>2</relatesTo><i> phuocnv@ptit.edu.vn</i><br /><searchLink fieldCode="AR" term="%22Nguyen%2C+D%2E+T%2E%22">Nguyen, D. T.</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Mathematics+in+Science+%26+Engineering%22">Applied Mathematics in Science & Engineering</searchLink>. Dec2023, Vol. 31 Issue 1, p1-26. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Group+decision+making%22">Group decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Probabilistic+databases%22">Probabilistic databases</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Prospect+theory%22">Prospect theory</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+management%22">Industrial management</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Vietnam%22">Vietnam</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Cloud database services platforms (CDSP) have aided in both the generation of new ideas and the reduction of costs. Choosing the finest CDSP is a critical part of enterprise management for helping businesses respond to increasing market pressure and client demand. This study tried to solve this problem and proposed the integration concept of the TODIM (TOmada de Decisão Interativa e Multicritério) and the probability uncertain linguistic (PUL), which is a typical decision-making technique focused on the theory of prospects (PT-PUL-TODIM). The concept of probability uncertainty linguistic term sets (PULTS) is discussed. The cumulative weight of probabilistic double hierarchy linguistic knowledge is then determined by using the following cumulative prospect theory. Based on the experts' opinions, complex expressions with experience in the Vietnam market were collected and further transformed into a PULTS matrix. However, the CRiteria Importance Through Inter-Criteria Correlation (CRITIC) technique is implemented to calculate the objective criteria weights. The PT-PUL-TODIM optimization approach is developed and adopted for the CDSP. Finally, wecompared other methods and conducted a sensitivity analysis to compare the PT-PUL-TODIM approach with other ways to assess the validity, practicality, and usefulness of the technique, and the comparison revealed the merits and limitations of the model. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Applied Mathematics in Science & Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/27690911.2022.2156502 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1 Subjects: – SubjectFull: Group decision making Type: general – SubjectFull: Probabilistic databases Type: general – SubjectFull: Databases Type: general – SubjectFull: Prospect theory Type: general – SubjectFull: Industrial management Type: general – SubjectFull: Problem solving Type: general – SubjectFull: Vietnam Type: general Titles: – TitleFull: Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thi Minh Hang Nguyen – PersonEntity: Name: NameFull: Nguyen, V. P. – PersonEntity: Name: NameFull: Nguyen, D. T. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 27690911 Numbering: – Type: volume Value: 31 – Type: issue Value: 1 Titles: – TitleFull: Applied Mathematics in Science & Engineering Type: main |
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