An extension of fuzzy TOPSIS for a group decision making with an application to tehran stock exchange
Tài liệu tham khảo
Abbasbandy, 2002, Note on A new approach for defuzzification, Fuzzy Sets Syst., 128, 131, 10.1016/S0165-0114(01)00247-0
Abbasbandy, 2009, A new approach for ranking of trapezoidal fuzzy numbers, Comp. Math. Appl., 57, 413, 10.1016/j.camwa.2008.10.090
Albadvi, 2007, Decision making in stock trading: an application of PROMETHEE, Eur. J. Oper. Res., 177, 673, 10.1016/j.ejor.2005.11.022
Asady, 2007, Ranking fuzzy numbers by distance minimization, Appl. Math. Modell., 31, 2589, 10.1016/j.apm.2006.10.018
Awasthi, 2011, A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty, Math. Comput. Model., 53, 98, 10.1016/j.mcm.2010.07.023
Bellman, 1970, Decision making in a fuzzy environment, Manage. Sci., 17B, 141, 10.1287/mnsc.17.4.B141
Bilbao-Terol, 2014, Using TOPSIS for assessing the sustainability of government bond funds, Omega, 49, 1, 10.1016/j.omega.2014.04.005
Bortolan, 1985, A review of some methods for ranking fuzzy subsets, Fuzzy Sets Syst., 15, 1, 10.1016/0165-0114(85)90012-0
Bouri, 2002, A multi-criterion approach for selecting attractive portfolio, J. Multi-Crit. Decis. Anal., 11, 269, 10.1002/mcda.334
Buyukozkam, 2004, A fuzzy-logic-based decision-making approach for new product development, Int. J. Prod. Econ., 90, 27, 10.1016/S0925-5273(02)00330-4
Carlsson, 1982, Tackling an MCDM-problem with the help of some results from fuzzy set theory, Eur. J. Oper. Res., 10, 270, 10.1016/0377-2217(82)90226-0
Chakraborty, 2006, A theoretical development on a fuzzy distance measure for fuzzy numbers, Math. Comput. Modell., 43, 254, 10.1016/j.mcm.2005.09.025
Chang, 2009, Applying fuzzy hierarchy multiple attributes to construct an expert decision making process, Expert Syst. Appl., 36, 7363, 10.1016/j.eswa.2008.09.026
Chen, 1997, An efficient approach to solving fuzzy MADM problems, Fuzzy Sets Syst., 88, 51, 10.1016/S0165-0114(96)00048-6
Chen, 2000, Extension of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets Syst., 114, 1, 10.1016/S0165-0114(97)00377-1
Chen, 2006, A fuzzy approach for supplier evaluation and selection in supply chain management, Int. J. Prod. Econ., 102, 289, 10.1016/j.ijpe.2005.03.009
Chen, 2004, Combining gray relation and TOPSIS concepts for selecting an expatriate host country, Math. Comput. Modell., 40, 1473, 10.1016/j.mcm.2005.01.006
Chen, 1992, Fuzzy multiple attribute decision making, methods and applications, 375
Chen, 2010, Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method, Expert Syst. Appl., 37, 2790, 10.1016/j.eswa.2009.09.012
Cheng, 1998, A new approach for ranking fuzzy numbers by distance method, Fuzzy Sets Syst., 95, 307, 10.1016/S0165-0114(96)00272-2
Chu, 2002, Selecting plant location via a fuzzy TOPSIS approach, Int. J. Adv. Manuf. Technol., 20, 859, 10.1007/s001700200227
Chu, 2002, Improved extensions of the TOPSIS for group decision making under fuzzy environment, J. Inform. Optim. Sci., 23, 273
Deng, 2000, Inter-company comparison using modified TOPSIS with objective weights, Comput. Oper. Res., 27, 963, 10.1016/S0305-0548(99)00069-6
Dubois, 1978, Operations on fuzzy numbers, Int. J. Syst. Sci., 9, 613, 10.1080/00207727808941724
Ekmekçioğlu, 2010, Fuzzy multicriteria disposal method and site selection for municipal solid waste, Waste Manage., 30, 1729, 10.1016/j.wasman.2010.02.031
Fasanghari, 2010, Design and implementation of fuzzy expert system for Tehran Stock Exchange portfolio recommendation, Expert Syst. Appl., 37, 6138, 10.1016/j.eswa.2010.02.114
Figueira, 2005, 78
Fodor, 1994, 14
Giachetti, 1997, Analysis of the error in the standard approximation used for multiplication of triangular and trapezoidal fuzzy numbers and the development of a new approximation, Fuzzy Sets Syst., 91, 1, 10.1016/S0165-0114(96)00118-2
Giachetti, 1997, A parametric representation of fuzzy numbers and their arithmetic operators, Fuzzy Sets Syst., 91, 185, 10.1016/S0165-0114(97)00140-1
Gibbons, 1971
Guha, 2010, A new approach to fuzzy distance measure and similarity measure between two generalized fuzzy numbers, Appl. Soft Comput., 10, 90, 10.1016/j.asoc.2009.06.009
Hatami-Marbini, 2009, An application of fuzzy TOPSIS method in an SWOT analysis, Math. Sci., 3, 173
Hatami-Marbini, 2011, An extension of the Electre I method for group decision-making under a fuzzy environment, Omega, 39, 373, 10.1016/j.omega.2010.09.001
Hatami-Marbini, 2013, An extended compromise ratio method for fuzzy group multi-attribute decision making with SWOT analysis, Appl. Soft Comput., 13, 3459, 10.1016/j.asoc.2013.04.016
Hatami-Marbini, 2013, A fuzzy group linear programming technique for multidimensional analysis of preference, J. Intell. Fuzzy Syst., 25, 723, 10.3233/IFS-120678
Huijun, 2006, A new approach for ranking fuzzy numbers based on fuzzy simulation analysis method, Appl. Math. Comput., 174, 755, 10.1016/j.amc.2005.04.113
Hwang, 1979
Hwang, 1981
Jerry Ho, 2011, Combined DEMATEL technique with a novel MCDM model for exploring portfolio selection based on CAPM, Expert Syst. Appl., 38, 16, 10.1016/j.eswa.2010.05.058
Kandel, 1986
Kang, 2016, Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on ES- QUAL, Appl. Soft Comput., 42, 53, 10.1016/j.asoc.2016.01.017
Kaufmann, 1991
Klir, 1995
Kutlu, 2012, Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP, Expert Syst. Appl., 39, 61, 10.1016/j.eswa.2011.06.044
Kwong, 2002, Case-based reasoning approach to concurrent design of low power transformers, J. Mater. Process. Technol., 128, 136, 10.1016/S0924-0136(02)00440-5
Lima-Junior, 2016, Combining SCOR® model and fuzzy TOPSIS for supplier evaluation and management, Int. J. Prod. Econ., 174, 128, 10.1016/j.ijpe.2016.01.023
Luhandjula, 1989, Fuzzy optimization: an appraisal, Fuzzy Sets Syst., 30, 257, 10.1016/0165-0114(89)90019-5
Lynn, 2014, Are you brave enough to invest in Iran?, Wall Street J. (Market Watch)
Martel, 1988, An application of a multicriteria approach to portfolio comparisons, J. Oper. Res. Soc., 39, 617, 10.1057/jors.1988.107
Modarres, 2001, Ranking fuzzy numbers by preference ratio, Fuzzy Sets Syst., 118, 429, 10.1016/S0165-0114(98)00427-8
Peng, 2012, Regional earthquake vulnerability assessment using a combination of MCDM methods, Ann. Oper. Res., 1, 10.1007/s10479-012-1104-7
Raju, 1999, Multicriterion decision making in river basin planning and development, Eur. J. Oper. Res., 112, 249, 10.1016/S0377-2217(98)00006-X
Ramík, 2010, A method for solving fuzzy multicriteria decision problems with dependent criteria, Fuzzy Optim. Decis. Making, 9, 123, 10.1007/s10700-010-9078-x
Ren, 2007, Comparative analysis of a novel M-TOPSIS method and TOPSIS, Appl. Math. Res. eXpress, 2007, abm005
Rezaie, 2013, Efficiency appraisal and ranking of decision-making units using data envelopment analysis in fuzzy environment: a case study of Tehran stock exchange, Neural Comput. Appl., 23, 1, 10.1007/s00521-012-1209-6
Saati, 2013, A fuzzy data envelopment analysis for clustering operating units with imprecise data International Journal of Uncertainty, Fuzz. Knowl. Based Syst., 21, 29, 10.1142/S0218488513500037
Saaty, 1980
Sadi-Nezhad, 2010, Application of a fuzzy TOPSIS method base on modified preference ratio and fuzzy distance measurement in assessment of traffic police centers performance, Appl. Soft Comput., 10, 1028, 10.1016/j.asoc.2009.08.036
Shen, 2015, Combined soft computing model for value stock selection based on fundamental analysis, Appl. Soft Comput., 37, 142, 10.1016/j.asoc.2015.07.030
Tavana, 2011, A group AHP-TOPSIS framework for human spaceflight mission planning at NASA, Expert Syst. Appl., 38, 13588
Taylan, 2014, Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies, Appl. Soft Comput., 17, 105, 10.1016/j.asoc.2014.01.003
Tran, 2002, Comparison of fuzzy numbers using a fuzzy distance measure, Fuzzy Sets Syst., 130, 331, 10.1016/S0165-0114(01)00195-6
Triantaphyllou, 1996, Development and evaluation of five fuzzy multiattribute decision-making methods, Int. J. Approximate Reasoning, 14, 281, 10.1016/0888-613X(95)00119-2
Voxman, 1998, Some remarks on distances between fuzzy numbers, Fuzzy Sets Syst., 100, 353, 10.1016/S0165-0114(97)00090-0
Wang, 2009, Fuzzy hierarchical TOPSIS for supplier selection, Appl. Soft Comput., 9, 377, 10.1016/j.asoc.2008.04.014
Wang, 2006, Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment, Expert Syst. Appl., 31, 309, 10.1016/j.eswa.2005.09.040
Xidonas, 2009, Common stock portfolio selection: a multiple criteria decision making methodology and an application to the Athens Stock Exchange, Oper. Res., 9, 55
Xidonas, 2010, Portfolio construction on the Athens Stock Exchange: a multi objective optimization approach, Optimization, 59, 1211, 10.1080/02331930903085375
Yang, 2005, Solving a multi response simulation-optimization problem with discrete variables using a multi-attribute decision-making method, Math. Comput. Simul, 68, 9, 10.1016/j.matcom.2004.09.004
Yao, 2000, Ranking fuzzy numbers based on decomposition principle and signed distance, Fuzzy Sets Syst., 116, 275, 10.1016/S0165-0114(98)00122-5
Ye, 2014, An extended TOPSIS model based on the Possibility theory under fuzzy environment, Knowl. Based Syst., 67, 263, 10.1016/j.knosys.2014.04.046
Yong, 2006, Plant location selection based on fuzzy TOPSIS, Int. J. Adv. Manuf. Technol., 28, 839, 10.1007/s00170-004-2436-5
Zadeh, 1965, Fuzzy sets, Inform. Control, 8, 338, 10.1016/S0019-9958(65)90241-X
Zadeh, 1975, The concept of a linguistic variable and its application to approximate reasoning, Inform. Sci., 8, 199, 10.1016/0020-0255(75)90036-5
Zimmermann, 1996