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A Fuzzy Multi-Criteria Decision Analysis Approach for the Evaluation of the Network Service Providers in Turkey

Serkan Ballıa, Mustafa Tukerb

a Department of Information Systems Engineering, Faculty of Technology, Muğla Sıtkı Koçman University, Mugla, Turkey;
b International Computer Institute, Ege University, Izmir, Turkey

* Corresponding Author: Serkan Ballı, email

Intelligent Automation & Soft Computing 2018, 24(4), 693-699. https://doi.org/10.1080/10798587.2017.1306968

Abstract

Heterogeneous networks are environments where networks having different topologies and technologies can be connected. In an environment including more than one heterogeneous access network, selection of a bad network may lead to emergence of negative results such as high cost and poor service experience for the users. Ensuring the use of the most effective access network for the personal needs of individuals is a complex decision-making process. In the present study, a multicriteria decision-making system employing fuzzy logic was developed to evaluate and select network service providers in Turkey. Fuzzy logic was used for the criteria containing uncertain and unclear information. Parameter values of the candidate networks obtained from the real world were evaluated by using Fuzzy Analytic Hierarchy Process method and then results were discussed.

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APA Style
Ballı, S., Tuker, M. (2018). A fuzzy multi-criteria decision analysis approach for the evaluation of the network service providers in turkey. Intelligent Automation & Soft Computing, 24(4), 693-699. https://doi.org/10.1080/10798587.2017.1306968
Vancouver Style
Ballı S, Tuker M. A fuzzy multi-criteria decision analysis approach for the evaluation of the network service providers in turkey. Intell Automat Soft Comput . 2018;24(4):693-699 https://doi.org/10.1080/10798587.2017.1306968
IEEE Style
S. Ballı and M. Tuker, "A Fuzzy Multi-Criteria Decision Analysis Approach for the Evaluation of the Network Service Providers in Turkey," Intell. Automat. Soft Comput. , vol. 24, no. 4, pp. 693-699. 2018. https://doi.org/10.1080/10798587.2017.1306968



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