Abstract
The objective of this study is to provide an effective multi criteria decision making (MCDM) approach with group decision making to evaluate different smart phone alternatives according to consumer preferences. The choice of the most appropriate phone is a very complex decision, involving several perspectives. In such complex situations intuitionistic fuzzy sets with TOPSIS (IF-TOPSIS) can be utilized to eliminate uncertainty and to better represent decision makers’ preferences. The originality of the paper comes from its ability to handle high uncertainty in a smart phone selection and provide a real case study with IFS for the first time.
Article PDF
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
References
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. Işıklar, and G. Büyüközkan, Using a multi-criteria decision making approach to evaluate mobile phone alternatives, Computer Standards & Interfaces 29(2) (2007) 265–274.
G. Çifçi, and G. Büyüközkan, A Fuzzy MCDM Approach to Evaluate Green Suppliers, International Journal of Computational Intelligence Systems 4(5) (2011) 894–909.
A. Özgen, G. Tuzkaya, U. R. Tuzkaya, and D. Özgen, 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. Büyüközkan, O. Feyzioglu, and G. Çifçi, Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools, International Journal of Computational Intelligence Systems 4(2) (2012) 184–195.
I. Palomares, R M. Rodríguez, and L. Martínez López, 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. Martínez, 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 decisionmaking: Methods and application, Springer, New York, 1981.
F. E. Boran, S. Genç, 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. Perçin, 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 & Fuzzy Systems 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-Macías, A. Alvarado, J.L. García, and C.O. Balderrama, Intuitionistic fuzzy TOPSIS for ergonomic compatibility evaluation of advanced manufacturing technology, International Journal of Advanced Manufacturing Technology 70(9) (2014) 2283–2292.
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) 99–106.
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) 4401–4413.
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) 177–188.
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. Martínez López, 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. Rodríguez, and L. Martínez, 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. Martínez, Managing experts behavior in large-scale consensus reaching processes with uninorm aggregation operators, Applied Soft Computing 35 (2015) 873–887.
J. Liu, R M. Rodríguez, and L. Martínez, 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. Rodríguez, L. Martínez, 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. Rodríguez, 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. Rodríguez, and L. Martínez, 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. Rodríguez, B. Bedregal, H. Bustince, Y.C. Dong, B. Farhadinia, C. Kahraman, L. Martínez, 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.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
About this article
Cite this article
Büyüközkan, G., Güleryüz, S. Multi Criteria Group Decision Making Approach for Smart Phone Selection Using Intuitionistic Fuzzy TOPSIS. Int J Comput Intell Syst 9, 709–725 (2016). https://doi.org/10.1080/18756891.2016.1204119
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1080/18756891.2016.1204119