Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model

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 prob...

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Main Authors: Thi Minh Hang Nguyen, V. P. Nguyen, D. T. Nguyen
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Applied Mathematics in Science and Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/27690911.2022.2156502
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author Thi Minh Hang Nguyen
V. P. Nguyen
D. T. Nguyen
author_facet Thi Minh Hang Nguyen
V. P. Nguyen
D. T. Nguyen
author_sort Thi Minh Hang Nguyen
collection DOAJ
description 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, we compared 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.
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spelling doaj.art-c7ad81b1abf6403ca6e60f08e12f00632023-11-02T13:48:31ZengTaylor & Francis GroupApplied Mathematics in Science and Engineering2769-09112023-12-0131110.1080/27690911.2022.21565022156502Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM modelThi Minh Hang Nguyen0V. P. Nguyen1D. T. Nguyen2Faculty of Accounting and Audit, University of Finance – MarketingFaculty of Business Administration, Posts and Telecommunications Institute of TechnologyFaculty of Marketing, University of Finance – MarketingCloud 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, we compared 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.http://dx.doi.org/10.1080/27690911.2022.2156502multiple attribute group decision makingprobability uncertainty linguistic todimtheory of prospectscloud database service providers’ selectioncritic
spellingShingle Thi Minh Hang Nguyen
V. P. Nguyen
D. T. Nguyen
Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model
Applied Mathematics in Science and Engineering
multiple attribute group decision making
probability uncertainty linguistic todim
theory of prospects
cloud database service providers’ selection
critic
title Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model
title_full Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model
title_fullStr Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model
title_full_unstemmed Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model
title_short Selecting cloud database services provider through multi-attribute group decision making: a probabilistic uncertainty linguistics TODIM model
title_sort selecting cloud database services provider through multi attribute group decision making a probabilistic uncertainty linguistics todim model
topic multiple attribute group decision making
probability uncertainty linguistic todim
theory of prospects
cloud database service providers’ selection
critic
url http://dx.doi.org/10.1080/27690911.2022.2156502
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