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

Year 2023, , 61 - 72, 27.03.2023

Ayşegül Tuş , Esra Aytaç Adalı

https://doi.org/10.2339/politeknik.881609

Cited By: 4

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.

Keywords

MCDM, fuzzy rank ordering weighting methods, fuzzy MARCOS, Internet Sevice Provider (ISP) selection

İnternet Servis Sağlayıcı Seçim Probleminin Çözümünde Bulanık Sıralama Ağırlık Tabanlı Bulanık MARCOS Yöntemi

Abstract

İnternet hizmeti, belli bir ücret karşılığında bireylere ve kurumlara İnternet Servis Sağlayıcı (İSS) tarafından sunulmaktadır. Dünyada ve ülkemizde çok sayıda İSS olup, elektronik haberleşme sektöründeki hızlı gelişmeler nedeniyle İSS’ler arasında yoğun bir rekabet yaşanmaktadır. Bu durumda kullanıcılar, İSS seçim problemi ile karşı karşıya kalmaktadır. Kullanıcının amacı doğrultusunda ihtiyacını karşılayacak tüm nitel ve nicel kriterler düşünüldüğünde en iyi hizmeti sunacak İSS seçimi, belirsizlik içeren Çok Kriterli Karar Verme (ÇKKV) problemi olarak tasarlanabilir. Bu çalışmada, belirsizliği modelleyebilmek için bulanık küme teorisi kullanılmıştır. Çalışmada, fiber teknoloji hizmeti almak isteyen ev kullanıcılarının İSS seçim süreci, iki aşamada gerçekleştirilmiştir. İlk aşamada, kullanıcıların İSS seçimini etkileyen kriterler belirlenmiş ve bu kriterlerin ağırlıkları, Bulanık Sıra Toplam (BST), Bulanık Sıra Karşılıklı (BSK) ve Bulanık Sıra Ağırlık Merkezi (BSAM) ile hesaplanmıştır. İkinci aşamada ise aynı kullanıcılar için fiber teknoloji hizmeti veren İSS alternatifleri, ilk aşamada belirlenen kriterler dikkate alınarak bulanık MARCOS yöntemi ile sıralanmıştır. Bu şekilde bulanık MARCOS yöntemi, farklı bulanık sıralama ağırlıklandırma yöntemleri ile birlikte değerlendirilerek karşılaştırmalı bir analiz yapılmış ve sonuçlar yorumlanmıştır.

Keywords

ÇKKV, bulanık sıralama ağırlıklandırma yöntemleri, bulanık MARCOS, İnternet Servis Sağlayıcı (İSS) seçimi

References

• [1] Güngör, M. ve Evren, G., “İnternet sektörü ve Türkiye incelemeleri raporu”, T.C. Telekomünikasyon Kurumu Tarifeler Dairesi Başkanlığı, (2012).
• [2] He, L. and Walrand, J., “Pricing and revenue sharing strategies for internet service providers”, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies, Miami, Florida, 1: 205-216, (2005).
• [3] Norton, W. B. “Internet service providers and peering”, Proceedings of NANOG, Scottsdale, Arizona, 19: 1-17, (2001).
• [4] Oliveira, D. H. L., Francisco, F. M. V., Araújo, T. P., Celestino, J. and Gomes, R. L., “Adaptive model for network resources prediction in modern internet service providers”, IEEE Symposium on Computers and Communications (ISCC), Rennes, France, 1-6, (2020).
• [5] Ballı, S. ve Dikmen, E., “Heterojen ev ağlarının aralık tip-2 bulanık AHS ve TOPSIS yöntemleri ile değerlendirilmesi”, Bilişim Teknolojileri Dergisi, 13(4): 411-421, (2020).
• [6] Ballı, S. and Tuker, M. (2017), “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, (2017).
• [7] Karakaş Geyik, S. ve Gökçen, A. “Türkiye’de internet servis sağlayıcıları sektöründe müşteri sadakati ve bileşenlerinin yapısal eşitlik modellemesi ile incelenmesi, Marmara Üniversitesi İ.İ.B.F. Dergisi, 36(2): 159-184, (2014).
• [8] Zadeh, L.A., “Fuzzy sets”, Inf Control, 8: 338-353, (1965).
• [9] Erevelles, S., Srinivasan, S. and Rangel, S., “Consumer satisfaction for internet service providers: An analysis of underlying processes”, Information Technology and Management, 4(1): 69-89, (2003).
• [10] Chiou, J.S., “The antecedents of consumer’s loyalty towards ınternet service providers”, Information&Management, 41 (6): 685-695, (2004).
• [11] Kim, K.J., Jeung, I.J., Cheol-Park, J., Park, Y.J., Kim, C.G. and Kim, T.H. (2007), “The impact of network service performance on customer satisfaction and loyalty: High-speed internet service case in Korea”, Expert Systems with Applications, 32 (3): 822–831, (2007).
• [12] Sanchez-Franco, M. J., Ramos, A. F. V. and Velicia, F. A. M., “The moderating effect of gender on relationship quality and loyalty toward internet service providers”, Information & Management, 46(3): 196-202, (2009).
• [13] Magin S., Algesheimer, R. and Huber, F., “The impact of brand personality and customer satisfaction on customer's loyalty: Theoretical approach and findings of a causal analytical study in the sector of internet service providers”, Electronic Markets, 13(4): 294-308, (2010).
• [14] Dwivedi, Y. K., Papazafeiropoulou, A., Brinkman, W. P. and Lal, B., “Examining the influence of service quality and secondary influence on the behavioural intention to change internet service provider”, Information Systems Frontiers, 12(2): 207-217, (2010).
• [15] Thaichon, P., Lobo, A., Prentice, C. and Quach, T. N., “"The development of service quality dimensions for internet service providers: Retaining customers of different usage patterns”, Journal of Retailing and Consumer Services, 21(6): 1047-1058, (2014).
• [16] Karakaş Geyik, S. “Üniversite öğrencilerinin internet servis sağlayıcı tercihlerini etkileyen faktörler üzerine bir araştırma”, Ekonometri ve İstatistik Dergisi, 22: 14-35, (2015).
• [17] Quach, T. N., Thaichon, P. and Jebarajakirthy, C., “Internet service providers' service quality and its effect on customer loyalty of different usage patterns”, Journal of Retailing and Consumer Services, 29:104-113, (2016).
• [18] Quach, T. N., Jebarajakirthy, C. and Thaichon, P., “The effects of service quality on internet service provider customers’ behaviour”, Asia Pacific Journal of Marketing and Logistics, 28(3):435-463, (2016).
• [19] Şentürk, S. ve Alp, S., “Mobil operatör ve internet servis sağlayıcı tercihlerinin markov zinciri yöntemi ile analizi”, Gaziosmanpaşa Bilimsel Araştırma Dergisi, 13: 133-151, (2016).
• [20] Joudeh, J. M. and Dandis, A., “Service quality, customer satisfaction and loyalty in an internet service providers”. International Journal of Business and Management, 13(8): 108-120, (2018).
• [21] Ahmed, A. I. A., Khan, S., Gani, A., Ab Hamid, S. H. and Guizani, M., “Entropy-based fuzzy AHP model for trustworthy service provider selection in Internet of Things”, IEEE 43rd Conference on Local Computer Networks (LCN), Chicago, 606-613, (2018).
• [22] Yıldız, E., “Müşteri vatandaşlığı davranışlarının müşteri ilgisi ve algılanan müşteri değeri üzerindeki etkileri: İnternet servis sağlayıcı firmalar üzerine bir araştırma”, EUropean Journal of Managerial Research (EUJMR), 4(6): 91-113, (2020).
• [23] Doğrul, Ü. ve Kadıoğlu, C. T., “Hizmet kalitesi, firma imajı ve değiştirme maliyetlerinin müşteri sadakatine etkisi: Alternatiflerin çekiciliğinin düzenleyici rolü”, Pazarlama ve Pazarlama Araştırmaları Dergisi, 25: 1-19, (2020).
• [24] Key, P. and Steinberg, R., “Pricing, competition and content for internet service providers”. IEEE/ACM Transactions on Networking, 28(5): 2285-2298, (2020).
• [25] Cheng, C. H. and Lin, Y., “Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation”. European Journal of Operational Research, 142(1): 174-186, (2002).
• [26] Kwong, C. K. and Bai, H., “Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach”, IIE Transactions, 35: 619-626, (2003).
• [27] Roszkowska, W., “Rank ordering criteria weighting methods-a comparative overview”, Optimum Studia Ekonomiczne, 5(65): 14-33 (2013).
• [28] Roszkowska, E., “The extention rank ordering criteria weighting methods in fuzzy enviroment”, Operations Research and Decisions, 30(2): 91-114, (2020).
• [29] Stević, Ž., Pamučar, D., Puška, A. and Chatterjee, P., “Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)”, Computers & Industrial Engineering, 140, 106231, (2020).
• [30] Puška, A., Stojanović, I., Maksimović, A. and Osmanović, N., “Evaluation software of project management used measurement of alternatives and ranking according to compromise solution (MARCOS) method”, Operational Research in Engineering Sciences: Theory and Applications, 3(1): 89-102, (2020).
• [31] Stević, Ž. and Brković, N, “A novel integrated FUCOM-MARCOS model for evaluation of human resources in a transport company”, Logistics, 4(1), 4, (2020).
• [32] Ulutaş, A., Karabasevic, D., Popovic, G., Stanujkic, D., Nguyen, P. T. and Karaköy, Ç., “Development of a novel integrated CCSD-ITARA-MARCOS decision-making approach for stackers selection in a logistics system”, Mathematics, 8(10), 1672, (2020).
• [33] Badi, I. and Pamucar, D., “Supplier selection for steelmaking company by using combined Grey-MARCOS methods”, Decision Making: Applications in Management and Engineering, 3(2): 37-48, (2020).
• [34] Stanković, M., Stević, Ž., Das, D. K., Subotić, M. and Pamučar, D., “A new fuzzy MARCOS method for road traffic risk analysis”, Mathematics, 8(3), 457, (2020).
• [35] Mitrović Simić, J., Stević, Ž., Zavadskas, E. K., Bogdanović, V., Subotić, M. and Mardani, A., “A novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS Model for safety evaluation of road sections based on geometric parameters of road”, Symmetry, 12(12), (2020).
• [36] Puška, A., Stević, Ž. and Stojanović, I., “Selection of sustainable suppliers using the fuzzy MARCOS method”, Current Chinese Science, 1(1): 1-12, (2021).
• [37] Puška, A., Pamucar, D., Stojanovic, I., Cavallaro, F., Kaklauskas, A. and Mardani, A., “Examination of the sustainable rural tourism potential of the Brcko District of Bosnia and Herzegovina using a fuzzy approach based on group decision making”, Sustainability, 13 (2), 583, (2021).
• [38] Blagojević, A., Kasalica, S., Stević, Ž., Tričković, G. and Pavelkić, V., “Evaluation of safety degree at railway crossings in order to achieve sustainable traffic management: A novel integrated fuzzy MCDM model”, Sustainability, 13(2), 832, (2021).
• [39] Boral, S. K. Chaturvedi, I. M. Howard, K. McKee and V. N. A. Naikan, “An integrated approach for fuzzy failure mode and effect analysis using fuzzy AHP and fuzzy MARCOS”, IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, 395-400, (2020).
• [40] Chattopadhyay, R., Chakraborty, S. and Chakraborty, S., “An integrated D-MARCOS method for supplier selection in an iron and steel industry”, Decision Making: Applications in Management and Engineering, 3(2): 49-69, (2020).
• [41] Santos, F.J.J. and Camargo, H.A., “Fuzzy systems for multicriteria decision making”, Clei Electronic Journal, 13 (3): 1-9, (2010).
• [42] https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2020-33679 (son erişim tarihi: 15 Şubat 2021).
• [43] https://www.v.tr/pazar-verileri (son erişim tarihi: 10 Şubat 2021).