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Original Articles

Multi Criteria Group Decision Making Approach for Smart Phone Selection Using Intuitionistic Fuzzy TOPSIS

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Pages 709-725 | Received 26 Aug 2015, Accepted 11 Mar 2016, Published online: 28 Jun 2016

Reference

  • Turk-Telekom 2015 Data, available at: http://www.ttinvestorrelations.com.(accessed: 20.06.2015).
  • Information and Communication Technologies Authority (ICTA), electronic communications market in Turkey market data (2015 q1): available at:http://eng.btk.gov.tr. (accessed: 20.06.2015).
  • P. Mahatanankoon, H. J. Wen, and B. Lim, Consumer-based m-commerce: exploring consumer perception of mobile applications, Computer Standards & Interfaces 27(4) (2005) 347–357.
  • M.-H. Hsiao, and L.-C. Chen, Smart phone demand: An empirical study on the relationships between phone handset, Internet access and mobile services, Telematics and Informatics 32(1) (2015) 158–168.
  • G. I§iklar, and G. Buyukozkan, Using a multi-criteria decision making approach to evaluate mobile phone alternatives, Computer Standards & Interfaces 29(2) (2007) 265–274.
  • G. Ciffi, and G. Buyukozkan, A Fuzzy MCDM Approach to Evaluate Green Suppliers, International Journal of Computational Intelligence Systems 4(5) (2011) 894–909.
  • A. Ozgen, G. Tuzkaya, U. R. Tuzkaya, and D. Ozgen, A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment, International Journal of Computational Intelligence Systems 4(4) (2012) 431–445.
  • G. Wei, X. Zhao, and R. Lin, Some Induced Aggregating Operators with Fuzzy Number Intuitionistic Fuzzy Information and their Applications to Group Decision Making, International Journal of Computational Intelligence Systems 3(1) (2010) 84–95.
  • G. Buyukozkan, O. Feyzioglu, and G. £iffi, Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools, International Journal of Computational Intelligence Systems 4(2) (2012) 184–195.
  • I. Palomares, R M. Rodriguez, and L. Martinez Lopez, An attitude-driven web consensus support system for heterogeneous group decision making, Expert Systems with Applications 40(1) (2013)139–149.
  • I. Palomares, F J. Estrella, L. Martinez, and F. Herrera, Consensus under a Fuzzy Context: Taxonomy, Analysis Framework AFRYCA and Experimental Case of Study, Information Fusion 20 (2014) 252–271.
  • F. E. Boran, An applicaton of intuitionistic fuzzy set on personnel selection, Thesis for the degree of M.S.c. in industrial engineering, Gazi University Institute of Science and Technology, 2009.
  • C.L. Hwang, and K.P. Yoon, Multiple attribute decision-making: Methods and application, Springer, New York, 1981.
  • F. E. Boran, S. Genf, M. Kurt, and D. Akay, A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications 36 (8) (2009)11363–11368.
  • S. Perfin, and C. Kahraman, An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Six Sigma Project Selection, International Journal of Computational Intelligence Systems 10 (2010) 610–621.
  • K. T. Atanassov, Intuitionistic fuzzy sets. Fuzzy Sets and Systems 20 (1986) 87–96.
  • L. Abdullah, and L. Najib, A new preference scale of intuitionistic fuzzy analytic hierarchy process in multi-criteria decision making problems, Journal of Intelligent & FuzzySystems 26(2) (2014) 1039–1049.
  • L. Abdullah, and L. Najib, Sustainable energy planning decision using the intuitionistic fuzzy analytic hierarchy process: choosing energy technology in Malaysia, International Journal of Sustainable Energy, DOI: 10.1080/14786451.2014.907292, 2014.
  • Z. Xu, and H. Liao, Intuitionistic Fuzzy Analytic Hierarchy Process, IEEE Transactions on Fuzzy Systems 22(4) (2014) 749–761.
  • Z. Yue, TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting, Information Sciences 277(1) (2014) 141–153.
  • K. Govindan, R. Khodaverdi, and A. Vafadarnikjoo, Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain, Expert Systems with Applications 42(20) (2015) 7207–7220.
  • A. Maldonado-Macfas, A. Alvarado, J.L. Garcia, and C.O. Balderrama, Intuitionistic fuzzy TOPSIS for ergonomic compatibility evaluation of advanced manufacturing technology, International Journal of Advanced Manufacturing Technology 70(9) (2014) 22832292.
  • D. Joshi, and S. Kumar, Intuitionistic fuzzy entropy and distance measure based TOPSIS method for multi-criteria decision making, Egyptian Informatics Journal 15 (2) (2014) 97–104.
  • M. Haverila, Mobile phone feature preferences, customer satisfaction and repurchase intent among male users, Australasian Marketing Journal 19(4) (2011) 238–246.
  • E. Bayraktar, E. Tatoglu, A. Turkyilmaz, D. Delen, and S. Zaim, Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA, Expert Systems with Applications 39(1) (2012) 99106.
  • A.A. Economides, and A. Grousopoulou, Students' thoughts about the importance and costs of their mobile devices' features and services, Telematics and Informatics 26(1) (2009) 57–84.
  • S.-K. Hu, M.-T. Lu, and G.-H. Tzeng, Exploring smart phone improvements based on a hybrid MCDM model, Expert Systems with Applications 41(9) (2014) 44014413.
  • T. Rahul, and R. Majhi, An adaptive nonlinear approach for estimation of consumer satisfaction and loyalty in mobile phone sector of India, Journal of Retailing and Consumer Services 21(4) (2014) 570–580.
  • M. Haverila, What do we want specifically from the cell phone? An age related study, Telematics and Informatics 29(1) (2012) 110–122.
  • M. Haverila, Cell phone usage and broad feature preferences: A study among Finnish undergraduate students, Telematics and Informatics 30(2) (2013) 177188.
  • S. Mokhlis, and A. Y. Yaakop, Consumer Choice Criteria in Mobile Phone Selection: An Investigation of Malaysian University Students, International Review of Social Sciences and Humanities, 2(2) (2012) 203–212.
  • C.H. Chen, L.P. Khoo, and W. Yan, Evaluation of multicultural factors from elicited customer requirements for new product development, Research in Engineering Design 14(3) (2003) 119–130.
  • D.-N. Chen, P. J.-H. Hu, Y.-R. Kuo, and T.-P. Liang, A Web-based personalized recommendation system for mobile phone selection: Design, implementation, and evaluation, Expert Systems with Applications 37(12) (2010) 8201–8210.
  • C. Ling ,W. Hwang, and G. Salvendy, Diversified users' satisfaction with advanced mobile phone features, Universal Access in the Information Society 5(2) (2006) 239–249.
  • J.M. Noguera, M J. Barranco, R.J. Segura, and L. Martinez Lopez, A Mobile 3D-GIS Hybrid Recommender System for Tourism, Information Sciences 215 (2012) 37–52.
  • Y. Yun, and S.-H. Cha, Guitar application programming for smart phone, Communications in Computer and Information Science 300–305. Springer Berlin, Heidelberg, 2012.
  • K. T. Atanassov, Intuitionistic fuzzy sets, (Heidelberg: Springer, 1999).
  • L.A Zadeh, Fuzzy sets. Journal of Information and Control 8 (1965) 338–353.
  • M. Xia, and Z. Xu, Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment. Information Fusion 13(1) (2012) 31–47.
  • Z. S. Xu, Intuitionistic preference relations and their application in group decision making, Information Sciences 177(11) (2007) 2363–2379.
  • L. Martinez, D. Ruan, and F. Herrera, Computing with Words in Decision support Systems: An overview on Models and Applications, International Journal of Computational Intelligence Systems 3(4) Special Issue (2010) 382–395.
  • L. Martinez, M. Espinilla, and L. G. Perez, A Linguistic Multigranular Sensory Evaluation Model for Olive Oil, International Journal of Computational Intelligence Systems 1(2) (2008) 148–158.
  • F. E. Boran, K. Boran, and T. Menlik, The evaluation of renewable energy technologies for electricity generation in Turkey using intuitionistic fuzzy TOPSIS, Energy sources 7(1) (2012) 81–90.
  • R. de Andres, M. Espinilla, and L. Martinez, An Extended Hierarchical Linguistic Model for Managing Integral Evaluation, International Journal of Computational Intelligence Systems 3(4) Special Issue (2008) 486–500.
  • R M. Rodriguez, and L. Martinez, A Consensus Model for Group Decision Making with Hesitant Fuzzy Linguistic Information, International Conference on Intelligent Systems and Knowledge Engineering 2015, DOI 10.1109/ISKE.2015.31.
  • F. J. Quesadaa, I. Palomares, and L. Martinez, Managing experts behavior in large-scale consensus reaching processes with uninorm aggregation operators, Applied Soft Computing 35 (2015) 873–887.
  • J. Liu, R M. Rodriguez, and L. Martinez, Preface New trends of information fusion in decision making, Information Fusion 29 (2016) 87–88.
  • Z. S. Xu, and R.R. Yager Some geometric aggregation operators based on intuitionistic fuzzy sets, International Journal of General Systems 35(4) (2006) 417–433.
  • Y. He, H. Chen, L. Zhou, J. Liu, and Z. Tao, Intuitionistic fuzzy geometric interaction averaging operators and their application to multi-criteria decision making, Information Sciences 259 (2014)142-159.
  • S. J. Chen, and C. L. Hwang, Fuzzy multiple attribute decision-making methods and application, In Lecture notes in economics and mathematical systems, (New York: Springer, 1992).
  • F. Ye, An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for virtual enterprise partner selection, Expert Systems with Applications 37(10) (2010) 7050–7055.
  • F. E. Boran, An integrated intuitionistic fuzzy multi criteria decision making method for facility location selection, Mathematical and Computational Applications 16(2) (2011) 487–496.
  • C. Tan, A multi-criteria interval-valued intuitionistic fuzzy group decision making with Choquet integral-based TOPSIS, Expert Systems with Applications 38(4) (2011) 3023–3033.
  • Z.-X. Su, M.-Y. Chen, G.-P. Xia, and L. Wang, An interactive method for dynamic intuitionistic fuzzy multi-attribute group decision making, Expert Systems with Applications 38(12) (2011) 15286–15295.
  • G. Intepe, E. Bozdag, and T. Koc, The selection of technology forecasting method using a multi-criteria interval-valued intuitionistic fuzzy group decision making approach, Computers & Industrial Engineering 65(2) (2013) 277–285.
  • B. Vahdani, S. Meysam Mousavi, R. Tavakkoli-Moghaddam, and H. Hashemi, A new design of the elimination and choice translating reality method for multi-criteria group decision-making in an intuitionistic fuzzy environment, Applied Mathematical Modelling 37(4) (2013) 1781–1799.
  • M. Kucukvar, S. Gumus, G. Egilmez, and O. Tatari, Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method, Automation in Construction 40(15) (2014) 33–43.
  • T.Y. Chen, The inclusion-based TOPSIS method with interval-valued intuitionistic fuzzy sets for multiple criteria group decision making, Applied Soft Computing 26 (2015) 57–73.
  • X. Zhang, and Z. Xu, Soft computing based on maximizing consensus and fuzzy TOPSIS approach to interval-valued intuitionistic fuzzy group decision making, Applied Soft Computing 26 (2015) 42–56.
  • C.T. Chen, Extensions of the TOPSIS for group decision making under fuzzy environment, Fuzzy Sets and Systems, 114(1) (2000) 1–9.
  • R M. Rodriguez, L. Martinez, and F. Herrera, Hesitant Fuzzy Linguistic Term Sets for Decision Making, IEEE Transactions on Fuzzy Systems 20(1) (2012) 109–119.
  • H. Liu, and R M. Rodriguez, A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multi criteria decision making, Information Sciences 258(10) (2014) 220–238.
  • F. J. Estrella, R. M. Rodriguez, and L. Martinez, A Hesitant Linguistic Fuzzy TOPSIS Approach Integrated into FLINTSTONES, Proceedings of the 2015 Conference of the International Fuzzy Systems Association and The European Society for Fuzzy Logic and Technology.
  • R.M. Rodriguez, B. Bedregal, H. Bustince, Y.C. Dong, B. Farhadinia, C. Kahraman, L. Martinez, V. Torra, Y.J. Xu, Z.S. Xu, and F. Herrera, A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making, Information Fusion 29 (2016) 89–97.

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