A Scientific Decision Framework for Cloud Vendor Prioritization under Probabilistic Linguistic Term Set Context with Unknown/Partial Weight Information

A Scientific Decision Framework for Cloud Vendor Prioritization under Probabilistic Linguistic Term Set Context with Unknown/Partial Weight Information

With the tremendous growth of Cloud Vendors, Cloud vendor (CV) prioritization is a complex decision-making problem. Previous studies on CV selection use functional and non-functional attributes, but do not have an apt structure for managing uncertainty in preferences. Motivated by this challenge, in...

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Bibliographic Details
Main Authors: R. Sivagami, K. S. Ravichandran, R. Krishankumar, V. Sangeetha, Samarjit Kar, Xiao-Zhi Gao, Dragan Pamucar
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Symmetry
Subjects:
cloud vendors
COPRAS method
muirhead mean
programming model and statistical variance
Online Access:https://www.mdpi.com/2073-8994/11/5/682

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https://www.mdpi.com/2073-8994/11/5/682

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