Open Access

ARTICLE

Modified Computational Ranking Model for Cloud Trust Factor Using Fuzzy Logic

Lei Shen^*, Ting Huang, Nishui Cai, Hao Wu

Research Institute of China Telecom, Shanghai, 201315, China

* Corresponding Author: Lei Shen. Email:

Intelligent Automation & Soft Computing 2023, 37(1), 507-524. https://doi.org/10.32604/iasc.2023.037640

Received 11 November 2022; Accepted 07 February 2023; Issue published 29 April 2023

Abstract

Through the use of the internet and cloud computing, users may access their data as well as the programmes they have installed. It is now more challenging than ever before to choose which cloud service providers to take advantage of. When it comes to the dependability of the cloud infrastructure service, those who supply cloud services, as well as those who seek cloud services, have an equal responsibility to exercise utmost care. Because of this, further caution is required to ensure that the appropriate values are reached in light of the ever-increasing need for correct decision-making. The purpose of this study is to provide an updated computational ranking approach for decision-making in an environment with many criteria by using fuzzy logic in the context of a public cloud scenario. This improved computational ranking system is also sometimes referred to as the improvised VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. It gives users access to a trustworthy assortment of cloud services that fit their needs. The activity that is part of the suggested technique has been broken down into nine discrete parts for your convenience. To verify these stages, a numerical example has been evaluated for each of the six different scenarios, and the outcomes have been simulated.

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Keywords

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