Survey on fuzzy TOPSIS state-of-the-art between 2007 and 2017

Computers & Operations Research - Tập 104 - Trang 207-227 - 2019
Mahmood M. Salih1, B.B. Zaidan1, A.A. Zaidan1, Mohamed A. Ahmed1
1Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, Malaysia

Tài liệu tham khảo

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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

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