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Performance evaluation of cloud computing providers using fuzzy multiattribute group decision making model

conference contribution
posted on 06.12.2017, 00:00 by Srimannarayana Grandhi, Santoso Wibowo
Cloud computing is a prospering model which provides superior information technology services through the introduction of flexible and on-demand services, but the adoption rates are low because of the poor level of performance provided by the cloud computing service providers. This paper formulates the performance evaluation of cloud computing providers as a multiattribute group decision making problem and presents a fuzzy multiattribute group decision making model for effectively handling the performance evaluation problem of cloud computing providers. The vagueness of the decision making process is dealt effectively with the use of interval-valued intuitionistic fuzzy numbers. A fuzzy multiattribute group decision making algorithm is developed for generating a closeness coefficient for every cloud computing provider alternative across all attributes. An example is presented that shows the fuzzy multiattribute group decision making model is simple to use and effective for dealing with the performance evaluation problem.

History

Start Page

130

End Page

135

Number of Pages

6

Start Date

01/01/2015

Finish Date

01/01/2015

ISBN-13

9781467376815

Location

Zhangjiajie, China

Publisher

IEEE

Place of Publication

Piscataway, NJ.

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

School of Engineering and Technology (2013- ); TBA Research Institute;

Era Eligible

Yes

Name of Conference

International Conference on Fuzzy Systems and Knowledge Discovery