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NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE'DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ

Year 2010, Volume: 11 Issue: 2, 81 - 93, 27.12.2010

Abstract

Mobile number portability systems is a system that can allow portability of GSM (Global System for Mobile Communications) number from another operator without changing GSM number. There are several criteria to select the GSM operators by customer after this system is legal in Turkey. The main purpose of this study is to determine the market sharing in the future of GSM operators by expressing the weighting grades of selection criteria and the relationship between criteria and alternatives
that include uncertainty as fuzzy triangular numbers. In this study, the selection criteria of GSM operators are defined form literature and views of customer and weighted with linguistic variables by working group. Avea, Turkcell and Vodafone that active in Turkey are graded with linguistic variables to each criterion. Analyzing linguistic variables as qualitative variables and using graded linguistic variables in a specified interval are required fuzzy multi-criteria decision making methods. Expected market sharing of GSM operators is determined by using fuzzy TOPSIS method.

References

  • Chan, F.T.S. ve Kumar, N. (2007). Global sup- plier development considering risk factors using fuzzy extended AHP-based ap- proach. OMEGA 35, 417–431.
  • Chan, F.T.S. (2003). Interactive selection model for supplier selection process: Ananalyti- cal hierarchy process approach. Interna- tional Journal Production Research 41 (15), 3549–3579.
  • Chen, S.J. ve Hwang,C.L. (1992). Fuzzy Multi- ple Attribute Decision Making Methods and Applications. Springer Verlag, Berlin.
  • Chen, C.T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems 114, 1-9.
  • Chu, T.C. (2002). Selecting plant location via a fuzzy TOPSIS approach. International Journal of Advanced Manufacturing Technology 20, 859–864.
  • Chu, T.C. ve Lin, Y.C. (2002). Improved exten- sions of the TOPSIS for group decision- making under fuzzy environment. Journal of Information and Optimization Sciences 23, 273–286.
  • Dağdeviren, M., Yavuz, S. ve Kılınç, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environ- ment. Expert Systems with Applications 36, 8143–8151.
  • Felek, S., Yuluğkural, Y. ve Aladağ, Z. (2005). Mobil iletişim sektöründe pazar pay- laşımının tahmininde Ahp ve Anp yöntemlerinin Mühendisleri Odası Endüstri Mühendis- liği Dergisi 18, 1, 6-22. Makine
  • Hou, J. ve Su, D. (2007). EJB–MVC oriented supplier selection system for masscus- tomization. Journal of Manufacturing Technology Management 18 (1), 54–71.
  • Hwang, C.L.B.ve Yoon, K. (1981). Multiple attribute decision making: Methods and applications a state of the-art survey. Springer-Verlag.
  • Kahraman, C., Ruan, D. ve Doğan, I. (2003). Fuzzy group decision-making for facility location selection. Information Sciences 157, 135–153.
  • Küçük, O. ve Ecer, F. (2007). Bulanık topsıs kullanılarak tedarikçilerin degerlendiril- mesi ve Erzurum’da bir uygulama Eko- nomik ve Sosyal Arastırmalar Dergisi, 3, (1), 45-65.
  • Liang, G.S. (1999). Fuzzy MCDM based on ideal and anti-ideal concepts. European Journal of Operational Research 112, 682-691.
  • Liu, F.H.F. ve Hai, H.L. (2005). The voting ana- lytic hierarchy process method forselect- ing supplier. International Journal of Pro- duction Economics 97 (3), 308–317.
  • Roy, B. (1968). Classement et choix en présence de points de vue multiple (la méthode Electre). Revue d’Informatique et le Re- cherche Opérationelle 8, 57–75.
  • Saaty, T.L. (1996). Decision Making with De- pendence and Feedback The Analytic Network Process. RWS Publications, Pittsburgh.
  • Saaty, T.L. (1980). The Analytic Hierarchy Process, Planning, Piority Setting, Re- source Allocation. McGraw-Hill, New york.
  • Salehi, M. ve Moghaddam, R.T. (2008). Project selection by using a fuzzy TOPSIS tech- nique. World Academy of Science Engi- neering and Technology, 40, 85-90.
  • Seçme, N.Y., Bayrakdaroğlu, A. ve Kahraman, C. (2009). Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with Applications (Baskıda).
  • Sun, C.C. ve Lin, G.T. (2009). Using fuzzy TOPSIS method for evaluating the com- petitive advantages of shopping websites. Expert (Baskıda). Applications
  • Tosun, O.K., Güngör, A. ve Topçu, İ. (2008). ANP application for evaluating Turkish mobile communication operators. J. Glob. Optim. 42, 313–324.
  • Wang, J., Liu, S.Y. ve Zhang, J. (2005). An ex- tension of TOPSIS for fuzzy MCDM based on vague set theory. Journal of Sys- tems Science and Systems Engineering 14, 73–84.
  • Wang, T.C. ve Lee, H.D. (2009). Developing a fuzzy TOPSIS approach based on subjec- tive weights and objective weights. Expert Systems with Applications 36, 8980–8985.
  • Wang, Y.M. ve Elhag, T.M.S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assses- ment. Expert Systes with Applications 31, 309-319.
  • Xu, Z.S. ve Chen, J. (2007). An interactive method for fuzzy multiple attribute group decision making. Information Sciences 177, 248–263.
  • Yang, T. ve Hung, C.C. (2007). Multiple- attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing 23, 126–137.
  • Ye, F. ve Li, Y.N. (2009). Group multi-attribute decision model to partner selection in the formation of virtual enterprise under in- complete information. Expert Systems with Applications 36, 9350–9357.
  • Zadeh, L.A. (1965). Fuzzy Sets. Information and Control 8, 338-353.
  • Zhang. G, ve Lu, J. (2003). An integrated group decision making method dealing with fuzzy preferences for alternatives and in- dividual judgements for selection criteria. Group Decision and Negotation 12, 501- 515.

NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE'DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ

Year 2010, Volume: 11 Issue: 2, 81 - 93, 27.12.2010

Abstract

Numara taşınabilirliği sistemi, mobil telefon numarası değişmeden GSM (Global System for Mobile Communications) operatörünü değiştirebilmeye olanak sağlayan bir sistemdir. Bu sistemin Türkiye’de yasal hale gelmesinden sonra GSM operatörlerinin müşteriler tarafından seçilmesi için değişik kriterler mevcuttur. Bu çalışmanın amacı, belirsizlik içeren seçim kriterleri ağırlık dereceleri ve kriterler ile alternatifler arasındaki ilişki derecelerinin bulanık üçgen sayılar ile ifade edilerek GSM operatörünün gelecekteki pazar paylarının belirlenmesidir. Bu çalışmada, GSM operatörlerinin seçim kriterleri oluşturulan çalışma grubu tarafından literatür çalışmalarından, müşteri görüşlerinden faydalanılarak belirlenmiş ve dilsel değişkenler yardımı ile ağırlıklandırılmıştır. Türkiye’de faaliyet gösteren Avea, Turkcell ve Vodafone operatörleri her bir kritere göre yine dilsel değişkenler kullanılarak derecelendirilmiştir. Dilsel değişkenlerin nitel olarak analiz edilebilmesi ve dilsel ifadelerin tek bir değer ile değil belirli bir aralıkta derecelendirilerek kullanımı bulanık çok kriterli karar verme yöntemlerini gerekli kılmıştır. Çalışmada bulanık TOPSIS yöntemi kullanılarak GSM operatörlerinin beklenen pazar payları belirlenmiştir.

References

  • Chan, F.T.S. ve Kumar, N. (2007). Global sup- plier development considering risk factors using fuzzy extended AHP-based ap- proach. OMEGA 35, 417–431.
  • Chan, F.T.S. (2003). Interactive selection model for supplier selection process: Ananalyti- cal hierarchy process approach. Interna- tional Journal Production Research 41 (15), 3549–3579.
  • Chen, S.J. ve Hwang,C.L. (1992). Fuzzy Multi- ple Attribute Decision Making Methods and Applications. Springer Verlag, Berlin.
  • Chen, C.T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems 114, 1-9.
  • Chu, T.C. (2002). Selecting plant location via a fuzzy TOPSIS approach. International Journal of Advanced Manufacturing Technology 20, 859–864.
  • Chu, T.C. ve Lin, Y.C. (2002). Improved exten- sions of the TOPSIS for group decision- making under fuzzy environment. Journal of Information and Optimization Sciences 23, 273–286.
  • Dağdeviren, M., Yavuz, S. ve Kılınç, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environ- ment. Expert Systems with Applications 36, 8143–8151.
  • Felek, S., Yuluğkural, Y. ve Aladağ, Z. (2005). Mobil iletişim sektöründe pazar pay- laşımının tahmininde Ahp ve Anp yöntemlerinin Mühendisleri Odası Endüstri Mühendis- liği Dergisi 18, 1, 6-22. Makine
  • Hou, J. ve Su, D. (2007). EJB–MVC oriented supplier selection system for masscus- tomization. Journal of Manufacturing Technology Management 18 (1), 54–71.
  • Hwang, C.L.B.ve Yoon, K. (1981). Multiple attribute decision making: Methods and applications a state of the-art survey. Springer-Verlag.
  • Kahraman, C., Ruan, D. ve Doğan, I. (2003). Fuzzy group decision-making for facility location selection. Information Sciences 157, 135–153.
  • Küçük, O. ve Ecer, F. (2007). Bulanık topsıs kullanılarak tedarikçilerin degerlendiril- mesi ve Erzurum’da bir uygulama Eko- nomik ve Sosyal Arastırmalar Dergisi, 3, (1), 45-65.
  • Liang, G.S. (1999). Fuzzy MCDM based on ideal and anti-ideal concepts. European Journal of Operational Research 112, 682-691.
  • Liu, F.H.F. ve Hai, H.L. (2005). The voting ana- lytic hierarchy process method forselect- ing supplier. International Journal of Pro- duction Economics 97 (3), 308–317.
  • Roy, B. (1968). Classement et choix en présence de points de vue multiple (la méthode Electre). Revue d’Informatique et le Re- cherche Opérationelle 8, 57–75.
  • Saaty, T.L. (1996). Decision Making with De- pendence and Feedback The Analytic Network Process. RWS Publications, Pittsburgh.
  • Saaty, T.L. (1980). The Analytic Hierarchy Process, Planning, Piority Setting, Re- source Allocation. McGraw-Hill, New york.
  • Salehi, M. ve Moghaddam, R.T. (2008). Project selection by using a fuzzy TOPSIS tech- nique. World Academy of Science Engi- neering and Technology, 40, 85-90.
  • Seçme, N.Y., Bayrakdaroğlu, A. ve Kahraman, C. (2009). Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with Applications (Baskıda).
  • Sun, C.C. ve Lin, G.T. (2009). Using fuzzy TOPSIS method for evaluating the com- petitive advantages of shopping websites. Expert (Baskıda). Applications
  • Tosun, O.K., Güngör, A. ve Topçu, İ. (2008). ANP application for evaluating Turkish mobile communication operators. J. Glob. Optim. 42, 313–324.
  • Wang, J., Liu, S.Y. ve Zhang, J. (2005). An ex- tension of TOPSIS for fuzzy MCDM based on vague set theory. Journal of Sys- tems Science and Systems Engineering 14, 73–84.
  • Wang, T.C. ve Lee, H.D. (2009). Developing a fuzzy TOPSIS approach based on subjec- tive weights and objective weights. Expert Systems with Applications 36, 8980–8985.
  • Wang, Y.M. ve Elhag, T.M.S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assses- ment. Expert Systes with Applications 31, 309-319.
  • Xu, Z.S. ve Chen, J. (2007). An interactive method for fuzzy multiple attribute group decision making. Information Sciences 177, 248–263.
  • Yang, T. ve Hung, C.C. (2007). Multiple- attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing 23, 126–137.
  • Ye, F. ve Li, Y.N. (2009). Group multi-attribute decision model to partner selection in the formation of virtual enterprise under in- complete information. Expert Systems with Applications 36, 9350–9357.
  • Zadeh, L.A. (1965). Fuzzy Sets. Information and Control 8, 338-353.
  • Zhang. G, ve Lu, J. (2003). An integrated group decision making method dealing with fuzzy preferences for alternatives and in- dividual judgements for selection criteria. Group Decision and Negotation 12, 501- 515.
There are 29 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Nihal Erginel

Tolga Çakmak This is me

Sevil Şentürk

Publication Date December 27, 2010
Published in Issue Year 2010 Volume: 11 Issue: 2

Cite

APA Erginel, N., Çakmak, T., & Şentürk, S. (2010). NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE’DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 11(2), 81-93.
AMA Erginel N, Çakmak T, Şentürk S. NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE’DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ. AUJST-A. December 2010;11(2):81-93.
Chicago Erginel, Nihal, Tolga Çakmak, and Sevil Şentürk. “NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE’DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 11, no. 2 (December 2010): 81-93.
EndNote Erginel N, Çakmak T, Şentürk S (December 1, 2010) NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE’DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 11 2 81–93.
IEEE N. Erginel, T. Çakmak, and S. Şentürk, “NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE’DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ”, AUJST-A, vol. 11, no. 2, pp. 81–93, 2010.
ISNAD Erginel, Nihal et al. “NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE’DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 11/2 (December 2010), 81-93.
JAMA Erginel N, Çakmak T, Şentürk S. NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE’DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ. AUJST-A. 2010;11:81–93.
MLA Erginel, Nihal et al. “NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE’DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 11, no. 2, 2010, pp. 81-93.
Vancouver Erginel N, Çakmak T, Şentürk S. NUMARA TAŞINABİLİRLİĞİ UYGULAMASI SONRASI TÜRKİYE’DE GSM OPERATÖR TERCİHLERİNİN BULANIK TOPSIS YAKLAŞIMI İLE BELİRLENMESİ. AUJST-A. 2010;11(2):81-93.