A new multi-criteria decision making approach for sustainable material selection problem: A critical study on rank reversal problem
暂无分享,去创建一个
[1] Shankar Chakraborty,et al. Applications of utility concept and desirability function for materials selection , 2013 .
[2] Thomas L. Saaty,et al. The legitimacy of rank reversal , 1984 .
[3] Evangelos Triantaphyllou,et al. An examination of the effectiveness of multi-dimensional decision-making methods: A decision-making paradox , 1989, Decis. Support Syst..
[4] A. Abedian,et al. Introducing a novel method for materials selection in mechanical design using Z-transformation in statistics for normalization of material properties , 2009 .
[5] Luis G. Vargas,et al. Experiments on rank preservation and reversal in relative measurement , 1993 .
[6] Hendry Raharjo,et al. Evaluating Relationship of Consistency Ratio and Number of Alternatives on Rank Reversal in the AHP , 2006 .
[7] Soheil Sadi-Nezhad,et al. A new approach based on the level of reliability of information to determine the relative weights of criteria in fuzzy TOPSIS , 2015, Int. J. Appl. Decis. Sci..
[8] Kannan Govindan,et al. Sustainable material selection for construction industry – A hybrid multi criteria decision making approach , 2016 .
[9] Hossain Poorzahedy,et al. Peer evaluation of multi-attribute analysis techniques: Case of a light rail transit network choice , 2013 .
[10] Lennart Y. Ljungberg,et al. Materials selection and design for development of sustainable products , 2007 .
[11] Ali Shanian,et al. TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell , 2006 .
[12] Ching-Lai Hwang,et al. Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.
[13] Arvind Kumar Sharma,et al. Raw material selection for pulping and papermaking using TOPSIS multiple criteria decision making design , 2014 .
[14] Prasenjit Chatterjee,et al. Materials selection using complex proportional assessment and evaluation of mixed data methods , 2011 .
[15] María Teresa Lamata,et al. On rank reversal and TOPSIS method , 2012, Math. Comput. Model..
[16] Johan Springael,et al. PROMETHEE and AHP: The design of operational synergies in multicriteria analysis.: Strengthening PROMETHEE with ideas of AHP , 2004, Eur. J. Oper. Res..
[17] E. Løken. Use of multicriteria decision analysis methods for energy planning problems , 2007 .
[18] Prasenjit Chatterjee,et al. Material selection using preferential ranking methods , 2012 .
[19] R. Khorshidi,et al. Comparative analysis between TOPSIS and PSI methods of materials selection to achieve a desirable combination of strength and workability in Al/SiC composite , 2013 .
[20] R. Khorshidi,et al. Selection of an optimal refinement condition to achieve maximum tensile properties of Al–15%Mg2Si composite based on TOPSIS method , 2013 .
[21] Valentinas Podvezko,et al. The Comparative Analysis of MCDA Methods SAW and COPRAS , 2011 .
[22] Ying Luo,et al. On rank reversal in decision analysis , 2009, Math. Comput. Model..
[23] A. Majumdar,et al. Optimal design of flyash filled composite friction materials using combined Analytical Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solutions approach , 2010 .
[24] Ali Jahan,et al. A target-based normalization technique for materials selection , 2012 .
[25] Luis G. Vargas. Comments on Barzilai and Lootsma: Why the Multiplicative AHP Is Invalid: A Practical Counterexample , 1997 .
[26] Halil Çalışkan,et al. Material selection for the tool holder working under hard milling conditions using different multi criteria decision making methods , 2013 .
[27] Brian Henson,et al. A multiple stakeholders' approach to strategic selection decisions , 2008, Comput. Ind. Eng..
[28] Xiao-Bing Hu,et al. Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach , 2009 .
[29] Evangelos Triantaphyllou,et al. Two new cases of rank reversals when the AHP and some of its additive variants are used that do not occur with the multiplicative AHP , 2001 .
[30] Madjid Tavana,et al. A hybrid fuzzy MCDM method for measuring the performance of publicly held pharmaceutical companies , 2014, Annals of Operations Research.
[31] S. Vinodh,et al. Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component , 2012 .
[32] D. Buede,et al. Rank disagreement: A comparison of multi‐criteria methodologies , 1995 .
[33] Ana M. R. Senos,et al. Digital tools for material selection in product design , 2010 .
[34] S. Lai. A Preference-based Interpretation of AHP , 1995 .
[35] Benjamin F. Hobbs,et al. Building public confidence in energy planning : a multimethod MCDM approach to demand-side planning at BC gas , 1997 .
[36] Ramakrishnan Ramanathan,et al. Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process , 2006, Comput. Oper. Res..
[37] Jonathan Barzilai,et al. POWER RELATIONS AND GROUP AGGREGATION IN THE MULTIPLICATIVE AHP AND SMART , 1997 .
[38] Jurgita Antucheviciene,et al. Measuring Congruence of Ranking Results Applying Particular MCDM Methods , 2011, Informatica.
[39] Li Li,et al. Customer satisfaction evaluation method for customized product development using Entropy weight and Analytic Hierarchy Process , 2014, Comput. Ind. Eng..
[40] Alireza Sotoudeh-Anvari,et al. A comprehensive MCDM-based approach using TOPSIS, COPRAS and DEA as an auxiliary tool for material selection problems , 2017 .
[41] R. Rao. A material selection model using graph theory and matrix approach , 2006 .
[42] V. Belton,et al. The legitimacy of rank reversal—A comment , 1985 .
[43] S. M. Sapuan,et al. Material screening and choosing methods: A review , 2010 .
[44] Ying-Ming Wang,et al. An approach to avoiding rank reversal in AHP , 2006, Decis. Support Syst..
[45] Milad Avazbeigi,et al. A material selection methodology and expert system for sustainable product design , 2011 .
[46] Ezekiel Chinyio,et al. Multi-criteria evaluation model for the selection of sustainable materials for building projects , 2013 .
[47] Shankar Chakraborty,et al. A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection , 2011 .
[48] Bijan Sarkar,et al. Multi objective performance analysis: A novel multi-criteria decision making approach for a supply chain , 2016, Comput. Ind. Eng..
[49] Deqiang Han,et al. Multi-Criteria Decision-Making with imprecise scores and BF-TOPSIS , 2017, 2017 20th International Conference on Information Fusion (Fusion).
[50] William C. Wedley,et al. Correcting illegitimate rank reversals: proper adjustment of criteria weights prevent alleged AHP intransitivity , 2008 .
[51] Sándor Imre,et al. Eliminating Rank Reversal Phenomenon in GRA-Based Network Selection Method , 2010, 2010 IEEE International Conference on Communications.
[52] J. Barzilai,et al. Ahp Rank Reversal, Normalization and Aggregation Rules , 1994 .
[53] Lazim Abdullah,et al. Simple Additive Weighting Methods of Multi criteria Decision Making and Applications: A Decade Review , 2014 .
[54] Abdellah Adib,et al. An enhanced-TOPSIS based network selection technique for next generation wireless networks , 2013, ICT 2013.
[55] Romualdas Ginevičius,et al. Selection of the optimal real estate investment project basing on multiple criteria evaluation using stochastic dimensions , 2009 .
[56] A. Abedian,et al. A novel method for materials selection in mechanical design: Combination of non-linear normalization and a modified digital logic method , 2007 .
[57] E. Triantaphyllou,et al. Ranking irregularities when evaluating alternatives by using some ELECTRE methods , 2008 .
[58] Nizar Bel Hadj Ali,et al. Comparing Multi-Criteria Decision aid methods through a ranking stability index , 2013, 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO).
[59] Patrick T. Hester,et al. An Analysis of Multi-Criteria Decision Making Methods , 2013 .
[60] Dong-Hyun Jee,et al. A method for optimal material selection aided with decision making theory , 2000 .
[61] Ralph E. Steuer,et al. Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years , 1992 .
[62] Richard Edgar Hodgett,et al. Comparison of multi-criteria decision-making methods for equipment selection , 2015, The International Journal of Advanced Manufacturing Technology.
[63] S. M. Sapuan,et al. A comprehensive VIKOR method for material selection , 2011, Materials & Design.
[64] Sunil Kumar Singal,et al. Penstock material selection in small hydropower plants using MADM methods , 2015 .
[65] Cecília M.V.B. Almeida,et al. Material selection for environmental responsibility: the case of soft drinks packaging in Brazil , 2017 .
[66] Arvind Kumar Sharma,et al. Sustainable raw material selection for pulp and paper using SAW multiple criteria decision making design , 2015 .
[67] Zhenqiu Sun,et al. Comparative Analysis of a Novel M-TOPSIS Method and TOPSIS , 2010 .
[68] W. D. Keyser,et al. A note on the use of PROMETHEE multicriteria methods , 1996 .
[69] I Mergias,et al. Multi-criteria decision aid approach for the selection of the best compromise management scheme for ELVs: the case of Cyprus. , 2007, Journal of hazardous materials.
[70] E. Stanley Lee,et al. An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..
[71] A. Milani,et al. The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection , 2005 .
[72] Prasenjit Chatterjee,et al. Selection of materials using compromise ranking and outranking methods , 2009 .
[73] Stelios H. Zanakis,et al. Multi-attribute decision making: A simulation comparison of select methods , 1998, Eur. J. Oper. Res..
[74] Thomas L. Saaty,et al. An essay on rank preservation and reversal , 2009, Math. Comput. Model..
[75] Ramakrishnan Ramanathan,et al. Comparing perceived and expected service using an AHP model: an application to measure service quality of a company engaged in pharmaceutical distribution , 2011 .
[76] Golam Kabir,et al. Material selection for femoral component of total knee replacement integrating fuzzy AHP with PROMETHEE , 2016, J. Intell. Fuzzy Syst..
[77] K. Smallbone,et al. An assessment of sustainable housing affordability using a multiple criteria decision making method , 2013 .
[78] Evangelos Triantaphyllou,et al. Multi-criteria Decision Making Methods: A Comparative Study , 2000 .
[79] Jun Liu,et al. An integrated AHP-DEA methodology for bridge risk assessment , 2008, Comput. Ind. Eng..
[80] William J. Hurley,et al. The analytic hierarchy process: can wash criteria be ignored? , 2002, Comput. Oper. Res..
[81] C. Yeh,et al. A simulation comparison of normalization procedures for TOPSIS , 2009, 2009 International Conference on Computers & Industrial Engineering.
[82] Shuo-Yan Chou,et al. Note on "Wash criterion in analytic hierarchy process" , 2008, Eur. J. Oper. Res..
[83] Feng Kong,et al. Rank reversal and Rank Preservation in ANP method , 2016 .
[84] S. Chakraborty,et al. Grinding Wheel Abrasive Material Selection Using Fuzzy TOPSIS Method , 2013 .
[85] Ali Jahan,et al. A state-of-the-art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design , 2015 .
[86] Ernst Worrell,et al. Early-stage sustainability assessment to assist with material selection : a case study for biobased printer panels , 2016 .
[87] Peng Wang,et al. A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design , 2016, Inf. Sci..
[88] Shankar Chakraborty,et al. Decision making for material selection using the UTA method , 2011 .
[89] M. Sajid Mushtaq,et al. TOPSIS-based dynamic approach for mobile network interface selection , 2016, Comput. Networks.
[90] Morteza Yazdani,et al. A comparative study on material selection of microelectromechanical systems electrostatic actuators using Ashby, VIKOR and TOPSIS , 2015 .
[91] Fikri Dweiri,et al. Material selection using analytical hierarchy process , 2006, Int. J. Comput. Appl. Technol..
[92] Bijan Sarkar,et al. A De Novo multi-approaches multi-criteria decision making technique with an application in performance evaluation of material handling device , 2015, Comput. Ind. Eng..
[93] J. Rezaei,et al. A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method , 2016 .
[94] A. Abedian,et al. A simplified fuzzy logic approach for materials selection in mechanical engineering design , 2009 .
[95] F. Findik,et al. Materials selection for lighter wagon design with a weighted property index method , 2012 .
[96] Mehdi Soltanifar,et al. Survey on rank preservation and rank reversal in data envelopment analysis , 2014, Knowl. Based Syst..
[97] V. S. Gadakh,et al. Application of complex proportional assessment method for vendor selection , 2014 .
[98] Deqiang Han,et al. A new Belief Function based approach for multi-criteria decision-making support , 2016, 2016 19th International Conference on Information Fusion (FUSION).