Abstract
Cloud computing technology provides virtual services based on subscriptions with an associated cost that is accessible to its users from anywhere, wherever they are. Technology brings many different benefits to companies as well as to the public by reducing the time and resources for them which would be needed for establishing and operating their own Information Technology infrastructure. The main aim in this study is to identify significant decision criteria that are relevant to the cloud computing technology selection problem among ‘Infrastructure as a Service’ cloud providers, to provide an effective framework to evaluate and select the most appropriate ‘Infrastructure as a Service’ providers and also to apply the proposed approach through an empirical study. Technology selection essentially is a difficult multi-criteria problem that deals with both quantitative and qualitative parameters, which are usually conflicting and uncertain. Interval valued intuitionistic fuzzy set is a powerful method to cope with uncertainty by taking both degree of membership and non-membership function in an interval. A multi-criteria approach based on the combination of interval valued intuitionistic fuzzy set theory and complex proportional assessment is proposed to deal with cloud computing technology selection problem in uncertain and ambiguous environment. Finally, in order to illustrate the procedure thoroughly, an application of the proposed approach is considered.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., Ghalsasi, A.: Cloud computing - the business perspective. Decis. Support Syst. 51, 176–189 (2011)
Saaty, T.: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. University of Pittsburgh, Pittsburgh (1980)
Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making-Methods and Application. Springer, New York (1981)
Opricovic, S.: Multicriteria Optimization of Civil Engineering Systems. Faculty of Civil Engineering, Belgrade (1998)
Zavadskas, E.K., Kaklauskas, A., Sarka, V.: The new method of multi-criteria complex proportional assessment of projects. Technol. Econ. Dev. Econ. 1, 131–139 (1994)
Turanoglu Bekar, E., Cakmakci, M., Kahraman, C.: Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis. J. Bus. Econ. Manag. 17, 663–684 (2016)
Wang, L.-E., Liu, H.-C., Quan, M.-Y.: Evaluating the risk of failure modes with a hybrid MCDM model under interval-valued intuitionistic fuzzy environments. Comput. Ind. Eng. 102, 175–185 (2016)
Gitinavard, H., Mousavi, S.M., Vahdani, B.: Soft computing-based new interval-valued hesitant fuzzy multi-criteria group assessment method with last aggregation to industrial decision problems. Soft Comput. 21, 3247–3265 (2017)
Razavi Hajiagha, S.H., Hashemi, S.S., Zavadskas, E.K.: A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment. Technol. Econ. Dev. Econ. 19, 22–37 (2013)
Garg, S.K., Versteeg, S., Buyya, R.: A framework for ranking of cloud computing services. Futur. Gener. Comput. Syst. 29, 1012–1023 (2012)
Sun, L., Dong, H., Hussain, F.K., Hussain, O.K., Ma, J., Zhang, Y.: A hybrid fuzzy framework for cloud service selection. In: 2014 IEEE International Conference Web Service, pp. 313–320 (2014)
Rehman, Z.U., Hussain, O.K., Hussain, F.K.: Parallel cloud service selection and ranking based on QoS history. Int. J. Parallel Program. 42, 820–852 (2014)
Bathla, P., Vashist, S.: SLA aware cost based service ranking in cloud computing. Int. J. Appl. 3, 257–268 (2014)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Atanassov, K., Gargov, G.: Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31, 343–349 (1989)
Zhao, H., Xu, Z., Yao, Z.: Interval-valued intuitionistic fuzzy derivative and differential operations. Int. J. Comput. Intell. Syst. 9, 36–56 (2016)
Zhang, F., Xu, S.: Multiple attribute group decision making method based on utility theory under interval-valued intuitionistic fuzzy environment. Gr. Decis. Negot. 25, 1261–1275 (2016)
Onar, S.C., Oztaysi, B., Otay, I., Kahraman, C.: Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy 90, 274–285 (2015)
Xu, Z., Cai, X.: Intuitionistic Fuzzy Information Aggregation. Intuitionistic Fuzzy Information Aggregation, pp. 1–102. Springer, Heidelberg (2012)
Oztaysi, B., Onar, S.C., Goztepe, K., Kahraman, C.: Evaluation of research proposals for grant funding using interval-valued intuitionistic fuzzy sets. Soft Comput. 21, 1203–1218 (2017)
Acknowledgements
The authors are grateful to the industrial experts who shared their evaluations for the case study. This research is financially supported by Galatasaray University Research Fund (Projects No: 16.402.004 and 17.402.009).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Büyüközkan, G., Göçer, F., Feyzioğlu, O. (2018). Cloud Computing Technology Selection Based on Interval Valued Intuitionistic Fuzzy COPRAS. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-319-66830-7_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-66830-7_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66829-1
Online ISBN: 978-3-319-66830-7
eBook Packages: EngineeringEngineering (R0)