A framework for evaluating cloud computing services using AHP and TOPSIS approaches with interval valued spherical fuzzy sets

The interaction of multi criteria decision making for deciding optimal decision among the entirety of the likely other alternatives. The availability of numerous amount of cloud services make it challenging for decision makers to select a cloud service according to their non-functional requirements...

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Bibliographic Details
Published inCluster computing Vol. 25; no. 6; pp. 4383 - 4396
Main Authors Monika, Sangwan, Om Prakash
Format Journal Article
LanguageEnglish
Published New York Springer US 01.12.2022
Springer Nature B.V
Subjects
3-D printers
Alternatives
Analytic hierarchy process
Cloud computing
Computer Communication Networks
Computer Science
Criteria
Decision analysis
Decision making
Fuzzy sets
Hierarchies
Methods
Operating Systems
Processor Architectures
Sensitivity analysis
Tourism
Service selection
Cloud computing
AHP
Spherical fuzzy sets (SFS)
Quality evaluation
TOPSIS
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Summary:The interaction of multi criteria decision making for deciding optimal decision among the entirety of the likely other alternatives. The availability of numerous amount of cloud services make it challenging for decision makers to select a cloud service according to their non-functional requirements as a number of criteria has to be included during selection of cloud services. The amalgamation of analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) has driven analysts to incorporate the blend with various augmentations of fuzzy sets. Extension of fuzzy set, the newly created 3-D spherical fuzzy set (SFS), is viable in dealing with vulnerability and evaluating expert decisions. In this paper, we have proposed general framework by combining AHP and TOPSIS methods under the dimensions of SFSs. SFAHP is employed to figure the importance of criteria and then these criteria weights used in IVSFTOPSIS (interval valued spherical fuzzy TOPSIS) to track down the ranking position of cloud service providers. This study addresses five different alternatives to six conflicting benchmarks by three decision makers. Sensitivity analysis is also conducted to highlight the reliability of proposed method.
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ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-022-03679-z