A novel group decision making method with intuitionistic fuzzy preference relations for RFID technology selection

Bottaniand, 2008, Economical assessment of the impact of RFID technology and EPC system on the fast-moving consumer goods supply chain, Int. J. Prod. Econ., 112, 548, 10.1016/j.ijpe.2007.05.007 Guo, 2015, An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment, Int. J. Prod. Econ., 159, 16, 10.1016/j.ijpe.2014.09.004 Huber, 2007, Vendor Perceptions of How RFID can Minimize Product Shrinkage in the Retail Supply Chain, 1 Ngai, 2007, Development of an RFID-based traceability system: Experiences and lessons learned from an aircraft engineering company, Prod. Oper. Manage., 16, 554, 10.1111/j.1937-5956.2007.tb00280.x Tzeng, 2008, Evaluating the business value of RFID: evidence from five case studies, Int. J. Prod. Econ., 112, 601, 10.1016/j.ijpe.2007.05.009 Lee, 2010, An investment evaluation of supply chain RFID technologies: a normative modeling approach, Int. J. Prod. Econ., 125, 313, 10.1016/j.ijpe.2010.02.006 Trappey, 2010, Genetic algorithm dynamic performance evaluation for RFID reverse logistic management, Expert Syst. Appl., 37, 7329, 10.1016/j.eswa.2010.04.026 Ustundag, 2010, Fuzzy rule-based system for the economic analysis of RFID investments, Expert Syst. ppl., 37, 5300, 10.1016/j.eswa.2010.01.009 Sari, 2010, Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance, Eur. J. Oper. Res., 207, 174, 10.1016/j.ejor.2010.04.003 Bunduchi, 2011, Mapping the benefits and costs associated with process innovation: the case of RFID adoption, Technovation, 31, 505, 10.1016/j.technovation.2011.04.001 Qu, 2011, A model for quantifying the value of RFID-enabled equipment tracking in hospitals, Adv. Eng. Inform., 25, 23, 10.1016/j.aei.2010.05.005 Ustundag, 2009, The impacts of radio frequency identification (RFID) technology on supply chain costs, Transp. Res. Part E: Logist. Transp. Rev., 45, 29, 10.1016/j.tre.2008.09.001 Lin, 2009, An integrated framework for the development of radio frequency identification technology in the logistics and supply chain management, Comput. Ind. Eng., 57, 832, 10.1016/j.cie.2009.02.010 Lee, 2011, The valuation of RFID investment using fuzzy real option, Expert Syst. Appl., 38, 12195, 10.1016/j.eswa.2011.03.076 Sari, 2013, Selection of RFID solution provider: a fuzzy multi-criteria decision model with Monte Carlo simulation, Kybernetes, 42, 448, 10.1108/03684921311323680 Chuu, 2014, An investment evaluation of supply chain RFID technologies: a group decision-making model with multiple information sources, Knowl. Syst., 66, 210, 10.1016/j.knosys.2014.05.012 Atanassov, 1986, Intuitionistic fuzzy sets, Fuzzy Sets Syst., 20, 87, 10.1016/S0165-0114(86)80034-3 Wan, 2013, LINMAP approach to heterogeneous MADM considering comparisons of alternatives with hesitation degrees, Omega, 41, 925, 10.1016/j.omega.2012.12.002 Guo, 2014, Amount of information and attitudinal-based method for ranking Atanassov's intuitionistic fuzzy values, IEEE Trans., 22, 177 Wan, 2015, Interval-valued intuitionistic fuzzy mathematical programming method for hybrid multi-criteria group decision making with interval-valued intuitionistic fuzzy truth degree, Inf. Fusion, 26, 49, 10.1016/j.inffus.2015.01.006 Wan, 2015, Power geometric operators of trapezoidal intuitionistic fuzzy numbers and application to multi-attribute group decision making, Appl. Soft Comput., 29, 153, 10.1016/j.asoc.2014.12.031 Wan, 2014, Atanassov's intuitionistic fuzzy programming method for heterogeneous multiattribute group decision making with Atanassov's intuitionistic fuzzy truth degrees, IEEE Trans. Fuzzy Syst., 2, 300, 10.1109/TFUZZ.2013.2253107 Kumar, 2014, Applying weakest t-norm based approximate intuitionistic fuzzy arithmetic operations on different types of intuitionistic fuzzy numbers to evaluate reliability of PCBA fault, Appl. Soft Comput., 23, 387, 10.1016/j.asoc.2014.06.036 Li, 2014, A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user's perspective in intuitionistic fuzzy environment, Appl. Soft Comput., 21, 28, 10.1016/j.asoc.2014.03.008 He, 2015, Multi-attribute decision making based on neutral averaging operators for intuitionistic fuzzy information, Appl. Soft Comput., 27, 64, 10.1016/j.asoc.2014.10.039 Merigó, 2015, An overview of fuzzy research with bibliometric indicators, Appl. Soft Comput., 27, 420, 10.1016/j.asoc.2014.10.035 Zeng, 2014, Induced intuitionistic fuzzy ordered weighted averaging-weighted average operator and its application to business decision-making, Comput. Sci. Inf. Syst., 11, 839, 10.2298/CSIS130109046S Wan, 2015, A new method for Atanassov's interval-valued intuitionistic fuzzy MAGDM with incomplete attribute weight information, Inf. Sci., 316, 329, 10.1016/j.ins.2015.04.019 Wan, 2015, Fuzzy mathematical programming approach to heterogeneous multiattribute decision-making with interval-valued intuitionistic fuzzy truth degrees, Inf. Sci., 325, 484, 10.1016/j.ins.2015.07.014 Xu, 2007, Intuitionistic preference relations and their application in group decision making, Inf. Sci., 177, 2363, 10.1016/j.ins.2006.12.019 Xu, 2009, Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group, Fuzzy Optim. Decis. Making, 8, 123, 10.1007/s10700-009-9056-3 Wu, 2014, Multiplicative consistency of intuitionistic reciprocal preference relations and its application to missing values estimation and consensus building, Knowl. Syst., 71, 187, 10.1016/j.knosys.2014.07.024 Xu, 2014, Intuitionistic fuzzy analytic hierarchy process, IEEE Trans. Fuzzy Syst., 22, 749, 10.1109/TFUZZ.2013.2272585 Xu, 2009, A method for estimating criteria weights from intuitionistic preference relations, Fuzzy Inf. Eng., 1, 79, 10.1007/s12543-009-0006-0 Zeng, 2013, A method based on similarity measures for interactive group decision-making with intuitionistic fuzzy preference relations, Appl. Math. Model., 37, 6909, 10.1016/j.apm.2013.01.044 Liao, 2015, Framework of group decision making with intuitionistic fuzzy preference information, IEEE Trans. Fuzzy Syst., 22, 62 Xia, 2013, Preference relations based on intuitionistic multiplicative information, IEEE Trans. Fuzzy Syst., 21, 113, 10.1109/TFUZZ.2012.2202907 Xu, 2013, Priority weight intervals derived from intuitionistic multiplicative preference relations, IEEE Trans. Fuzzy Syst., 21, 642, 10.1109/TFUZZ.2012.2226893 Chiclana, 1996, A classification method of alternatives for multiple preference ordering criteria based on fuzzy majority, J. Fuzzy Math., 4, 801 Chiclana, 1998, Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations, Fuzzy Sets Syst., 97, 33, 10.1016/S0165-0114(96)00339-9 Wu, 2014, A social network analysis trust-consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations, Knowl. Syst., 59, 97, 10.1016/j.knosys.2014.01.017 Li, 2003, A decision making method for group linguistic judgment matrix based on two-tuple, Syst. Eng., 21, 104 Yager, 1988, On ordered weighted averaging aggregation operators in multi-criteria decision making, IEEE Trans. Syst. Man Cybern. B, 18, 183, 10.1109/21.87068 Emrouznejad, 2014, Ordered weighted averaging operators 1988–2014: a citation based literature survey, Int. J. Intell. Syst., 29, 994, 10.1002/int.21673 Yager, 2011 Szmidt, 2000, Distances between intuitionistic fuzzy sets, Fuzzy Sets Syst., 114, 505, 10.1016/S0165-0114(98)00244-9 Xu, 2011, Group consensus algorithms based on preference relations, Inf. Sci., 181, 150, 10.1016/j.ins.2010.08.002 Dubey, 2012, Fuzzy linear programming under interval uncertainty based on IFS representation, Fuzzy Sets Syst., 188, 68, 10.1016/j.fss.2011.09.008 Bellman, 1970, Decision making in fuzzy environment, Manage. Sci., 17, 141, 10.1287/mnsc.17.4.B141 Yu, 2013, Interval-valued multiplicative intuitionistic fuzzy preference relations, Int. J. Fuzzy Syst., 15, 412