Survey on fuzzy TOPSIS state-of-the-art between 2007 and 2017
Tài liệu tham khảo
Aloini, 2016, Structured selection of partners in open innovation: an IF-TOPSIS based approach, Meas. Bus. Excell., 20, 53, 10.1108/MBE-12-2015-0058
Bao, 2012, Improved hierarchical fuzzy TOPSIS for road safety performance evaluation, Knowl. Based Syst., 32, 84, 10.1016/j.knosys.2011.08.014
Benitez, 2007, Using fuzzy number for measuring quality of service in the hotel industry, Tour. Manag., 28, 544, 10.1016/j.tourman.2006.04.018
Celik, 2013, An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul, Transp.Res. Part E Logist. Transp. Rev., 58, 28, 10.1016/j.tre.2013.06.006
Celik, 2009, Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network, Expert Syst. Appl., 36, 4541, 10.1016/j.eswa.2008.05.033
Chamodrakas, 2009, Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS, Expert Syst. Appl., 36, 7409, 10.1016/j.eswa.2008.09.050
Chamodrakas, 2011, In-depth analysis and simulation study of an innovative fuzzy approach for ranking alternatives in multiple attribute decision making problems based on TOPSIS, Appl. Soft Comput., 11, 900, 10.1016/j.asoc.2010.01.010
Chamodrakas, 2012, Network selection in a virtual network operator environment
Chen, 2014, Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets and the TOPSIS method, IEEE Trans. Syste. Man Cybern. Syst., 44, 1665, 10.1109/TSMC.2014.2314724
Chen, 2011, Fuzzy multiple attributes group decision-making based on fuzzy preference relations, Expert Syst. Appl., 38, 3865, 10.1016/j.eswa.2010.09.047
Chen, 2011, An extreme-distance approach to multiple criteria ranking, Math. Comput. Model., 53, 646, 10.1016/j.mcm.2010.10.001
Collan, 2014, Evaluating R&D projects as investments by using an overall ranking from four new fuzzy similarity measure-based TOPSIS variants, IEEE Trans. Fuzzy Syst., 22, 505, 10.1109/TFUZZ.2013.2260758
Dymova, 2015, An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts, Knowl. Based Syst., 83, 116, 10.1016/j.knosys.2015.03.014
Fan, 2009, A multiple attributes decision making method using individual and collaborative attribute data in a fuzzy environment, Inf. Sci., 179, 3603, 10.1016/j.ins.2009.06.037
Feng, 2012, Multisourcing suppliers selection in service outsourcing, J. Oper. Res. Soc., 63, 582, 10.1057/jors.2011.61
Geng, 2010, A new integrated design concept evaluation approach based on vague sets, Expert Syst. Appl., 37, 6629, 10.1016/j.eswa.2010.03.058
Gou, 2017, Hesitant fuzzy linguistic entropy and cross-entropy measures and alternative queuing method for multiple criteria decision making, Inf. Sci., 388, 225, 10.1016/j.ins.2017.01.033
Gumus, 2016, Intuitionistic fuzzy multi-criteria decision making framework based on life cycle environmental, economic and social impacts: the case of US wind energy, Sustain. Prod. Consump., 8, 78, 10.1016/j.spc.2016.06.006
Guo, 2009, A new Approach to project risk evaluation based on intuitionistic fuzzy sets
Guo-wei, 2009, A new method based on fuzzy TOPSIS for transformer dissolved gas analysis
Huang, 2012, Fuzzy Rasch model in TOPSIS: a new approach for generating fuzzy numbers to assess the competitiveness of the tourism industries in Asian countries, Tour. Manag., 33, 456, 10.1016/j.tourman.2011.05.006
Huang, 2015, Model of interval multi-attribute optimization for overseas oil–gas projects, Pet.m Sci., 12, 345, 10.1007/s12182-015-0026-9
Javadian, 2009, A general fuzzy TOPSIS based on New Fuzzy positive and negative ideal solution
Jiang, 2011, TOPSIS with fuzzy belief structure for group belief multiple criteria decision making, Expert Syst. Appl., 38, 9400, 10.1016/j.eswa.2011.01.128
Khalili-Damghani, 2013, A decision support system for fuzzy multi-objective multi-period sustainable project selection, Comput. Ind. Eng., 64, 1045, 10.1016/j.cie.2013.01.016
Khalili-Damghani, 2013, Solving multi-period project selection problems with fuzzy goal programming based on TOPSIS and a fuzzy preference relation, Inf. Sci., 252, 42, 10.1016/j.ins.2013.05.005
La Scalia, 2011, Multi-criteria decision making support system for pancreatic islet transplantation, Expert Syst. Appl., 38, 3091, 10.1016/j.eswa.2010.08.101
Lee, 2014, Robust spatial flood vulnerability assessment for Han River using fuzzy TOPSIS with α-cut level set, Expert Syst. Appl., 41, 644, 10.1016/j.eswa.2013.07.089
Li, 2010, A systematic approach to heterogeneous multiattribute group decision making, Comput. Ind. Eng., 59, 561, 10.1016/j.cie.2010.06.015
Li, 2016, A fuzzy TOPSIS for assessing higher vocational education development levels in uncertainty environments, J. Intell. Fuzzy Syst., 31, 3083, 10.3233/JIFS-169194
Liao, 2011, An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management, Expert Syst. Appl., 38, 10803, 10.1016/j.eswa.2011.02.031
Lingyu, 2009, An ERP system selection model based on fuzzy grey TOPSIS for SMEs
Madi, 2015, A comparison between two types of Fuzzy TOPSIS Method
Mittal, 2014, Prioritizing barriers to green manufacturing: environmental, social and economic perspectives, Procedia CIRP, 17, 559, 10.1016/j.procir.2014.01.075
Özdemir, 2010, Multi objective new product development in bakery production under fuzzy demand parameters, J. Intell. Fuzzy Syst., 21, 303, 10.3233/IFS-2010-0463
Ramezani, 2012, A Fuzzy group decision support system for projects evaluation
Rashid, 2014, Robot selection by using generalized interval-valued fuzzy numbers with TOPSIS, Appl. Soft Comput., 21, 462, 10.1016/j.asoc.2014.04.002
Rong, 2009, TOPSIS decision-making method for three parameters interval-valued fuzzy sets, Syst. Eng. Theory Pract., 29, 129, 10.1016/S1874-8651(10)60045-2
Roszkowska, 2015, Application of fuzzy TOPSIS to scoring the negotiation offers in ill-structured negotiation problems, Eur. J. Oper. Res., 242, 920, 10.1016/j.ejor.2014.10.050
Sadr, 2015, A group decision-making tool for the application of membrane technologies in different water reuse scenarios, J. Environ. Manag., 156, 97, 10.1016/j.jenvman.2015.02.047
Su, 2011, An interactive method for dynamic intuitionistic fuzzy multi-attribute group decision making, Expert Syst. Appl., 38, 15286, 10.1016/j.eswa.2011.06.022
Tan, 2014, A fuzzy approach for adaptive reuse selection of industrial buildings in Hong Kong, Int. J. Strateg. Prop. Manag., 18, 66, 10.3846/1648715X.2013.864718
Tian, 2010, Extension of TOPSIS for fuzzy multi-attribute decision making problem based on experimental analysis, J. Syst. Eng. Electron., 21, 416, 10.3969/j.issn.1004-4132.2010.03.011
Vahdani, 2013, Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method, Appl. Soft Comput., 13, 165, 10.1016/j.asoc.2012.08.020
Vahdani, 2011, Two novel FMCDM methods for alternative-fuel buses selection, Appl. Math. Modell., 35, 1396, 10.1016/j.apm.2010.09.018
Vinodh, 2013, Multiple criterion decision making application for sustainable material selection, 419
Wan, 2015, An intuitionistic fuzzy linear programming method for logistics outsourcing provider selection, Knowl. Based Syst., 82, 80, 10.1016/j.knosys.2015.02.027
Wan, 2016, Some new generalized aggregation operators for triangular intuitionistic fuzzy numbers and application to multi-attribute group decision making, Comput. Ind. Eng., 93, 286, 10.1016/j.cie.2015.12.027
Wan, 2016, Aggregating decision information into interval-valued intuitionistic fuzzy numbers for heterogeneous multi-attribute group decision making, Knowl. Based Syst., 113, 155, 10.1016/j.knosys.2016.09.026
Wang, 2015, Assessment of patient safety management from human factors perspective: a fuzzy topsis approach, Hum. Factors Ergon. Manuf. Serv. Ind., 25, 614, 10.1002/hfm.20580
Wang, 2011, A mathematical programming approach to multi-attribute decision making with interval-valued intuitionistic fuzzy assessment information, Expert Syst. Appl., 38, 12462, 10.1016/j.eswa.2011.04.027
Wood, 2016, Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting, J. Nat. Gas Sci. Eng., 28, 594, 10.1016/j.jngse.2015.12.021
Xu, 2017, An overview of interval-valued intuitionistic fuzzy information aggregations and applications, Granul. Comput., 2, 13, 10.1007/s41066-016-0023-4
Xu, 2013, Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information, Knowl. Based Syst., 52, 53, 10.1016/j.knosys.2013.05.011
Yaakob, 2017, FN-TOPSIS: fuzzy networks for ranking traded equities, IEEE Trans. Fuzzy Syst., 25, 315, 10.1109/TFUZZ.2016.2555999
Yang, 2017, Designing automotive products for remanufacturing from material selection perspective, J. Clean. Prod., 153, 570, 10.1016/j.jclepro.2015.08.121
Yang, 2011, Approximate TOPSIS for vessel selection under uncertain environment, Expert Syst. Appl., 38, 14523, 10.1016/j.eswa.2011.05.032
Yue, 2016, A geometric approach for ranking interval-valued intuitionistic fuzzy numbers with an application to group decision-making, Comput. Ind. Eng., 102, 233, 10.1016/j.cie.2016.10.027
Zammori, 2009, A fuzzy multi-criteria approach for critical path definition, Int. J. Project Manag., 27, 278, 10.1016/j.ijproman.2008.03.006
Zhang, 2015, An improved MCDM model with cloud TOPSIS method