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| Reference | Selection and ranking approach | Brief description | Validation |
|
| Garg et al. [11] | AHP based ranking | Developed a framework called SMICloud to rank cloud services based on functional and nonfunctional QoS parameters | CS |
| Tripathi et al. [32] | ANP | Proposed SMI framework based QoS criteria interactions for the ranking of the cloud services | CS |
| Singh and sidhu [33] | AHP and improved TOPSIS | Proposed a framework to evaluate the trustworthiness of cloud service providers based on various QoS criteria | SA |
| Jaiswal and mishra [34] | Fuzzy ontology and MCDM method | Proposed a framework that models nonlinear preferences of users based on criteria interactions for cloud service selection and ranking | EA |
| Kumar et al. [12] | AHP and TOPSIS | Designed a new framework to rank cloud services in a crisp environment | CS/SA |
| Nawaz et al. [35] | Markov chains and BWM | Proposed brokerage-based architecture for the selection of cloud services based on user priorities | EV |
| Basset et al. [36] | Neutrosophic set theory with AHP | A proposed new multicriteria decision-making model to select suitable cloud service provider | CS |
| Yadav and goraya [37] | AHP | Developed a framework to handle QoS requirements of cloud customer | CS |
| Jatoth et al. [38] | AHP and grey TOPSIS | Apply AHP to compute the importance of QoS parameters and integrated grey set theory with TOPSIS to rank the cloud services | CS |
| Ma et al. [39] | Collaborative filtering with TOPSIS | Proposed a method which considers the objective QoS variation and subjective user preferences during different time periods | CS |
| Sun et al. [27] | Fuzzy ontology and MCDM method | Developed a framework that models nonlinear preferences of users based on criteria interactions for CSRS | EA |
| Hussain et al. [40] | Best-worst method | Perform services evaluation from a QoS perspective and overcome the drawbacks of AHP | EA |
| Hussain et al. [40] | Fuzzy linear best-worst method | Proposed FLBWM method which recommends appropriate cloud service to clients based on their QoS requirements | CS |
| Tiwari et al. [13] | Neutrosophic set theory and TOPSIS | Proposed a framework that integrated neutrosophic set theory with modified TOPSIS for ranking cloud services | CS |
| Kumar et al. [41] | Fuzzy AHP and TOPSIS | Proposed a fuzzy framework for the selection of cloud services | EA/SA |
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