Fuzzy Rank Ordering Weight Based Fuzzy MARCOS Method for Solving Internet Service Provider Selection Problem

Abstract

Internet service is offered to individuals and institutions by the Internet Service Provider (ISP) for a certain fee. There are many ISPs in the world and in our country, and there is an intense competition between ISPs due to the rapid developments in the electronic communication sector. In this case, users are faced with ISP selection problem. Considering all qualitative and quantitative criteria that meet the needs of the user, the choice of ISP that will provide the best service can be designed as a Multi Criteria Decision Making (MCDM) problem with uncertainty. In this study, fuzzy set theory is used to model uncertainty. In the study, the ISP selection process of home users who want to get fiber technology service is made in two stages. In the first stage, the criteria that affect the users' ISP selection are determined and the weights of these criteria are calculated using Fuzzy Rank Sum (FRS), Fuzzy Rank Reciprocal (FRR) and Fuzzy Rank Order Centroid (FROC). In the second stage, ISP alternatives that provide fiber technology services for the same users are listed by fuzzy MARCOS method, taking into account the criteria determined in the first stage. In this way, the fuzzy MARCOS method is evaluated together with different fuzzy rank ordering weighting methods and a comparative analysis is made and the results are interpreted.