A decision-making framework for China's rare earth industry security evaluation by neutrosophic soft CoCoSo method
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[1] José Carlos Rodriguez Alcantud,et al. Necessary and possible hesitant fuzzy sets: A novel model for group decision making , 2019, Inf. Fusion.
[2] G. Mavrotas,et al. Determining objective weights in multiple criteria problems: The critic method , 1995, Comput. Oper. Res..
[3] Nirmal Kumar Mahapatra,et al. Neutrosophic Soft Matrix and its application to Decision Making , 2018 .
[4] Antonio Massarutto,et al. Rare-earth elements in the circular economy: The case of yttrium. , 2019, Journal of environmental management.
[5] Huchang Liao,et al. A Hesitant Fuzzy Linguistic Combined Compromise Solution Method for Multiple Criteria Decision Making , 2019 .
[6] Muhammad Raiz,et al. Application of Generalized Fuzzy TOPSIS in Decision Making for Neutrosophic Soft Set to Predict the Champion of FIFA 2018: A Mathematical Analysis , 2019 .
[7] Edmundas Kazimieras Zavadskas,et al. A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015 , 2017 .
[8] Mehdi Keshavarz Ghorabaee,et al. Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS- CRITIC approach , 2018 .
[9] Ridvan Sahin,et al. On similarity and entropy of neutrosophic soft sets , 2014, J. Intell. Fuzzy Syst..
[10] Samarjit Kar,et al. An Approach to Rank Picture Fuzzy Numbers for Decision Making Problems , 2019, Decision Making: Applications in Management and Engineering.
[11] Wei Wang,et al. Rare earth elements in the Pearl River Delta of China: Potential impacts of the REE industry on water, suspended particles and oysters. , 2019, Environmental pollution.
[12] Pabitra Kumar Maji,et al. Neutrosophic Soft Set , 2013 .
[13] Sheng-Gang Li,et al. Possibility m-polar fuzzy soft sets and its application in decision-making problems , 2019, J. Intell. Fuzzy Syst..
[14] Moses Olubayo Babatunde,et al. Selection of a mini-grid business model for developing countries using CRITIC-TOPSIS with interval type-2 fuzzy sets , 2018 .
[15] Goran Ćirović,et al. New multi-criteria LNN WASPAS model for evaluating the work of advisors in the transport of hazardous goods , 2019, Neural Computing and Applications.
[16] Gang Han. Analysis of China’s Rare Earth Industry Security and Countermeasures , 2015 .
[17] Dragan Pamucar,et al. Sustainability assessment of OPEC countries: Application of a multiple attribute decision making tool , 2019 .
[18] Xindong Peng,et al. A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017 , 2018, Artificial Intelligence Review.
[19] Muhammad Akram,et al. Neutrosophic soft graphs with application , 2017, J. Intell. Fuzzy Syst..
[20] Mingwei Lin,et al. Linguistic q‐rung orthopair fuzzy sets and their interactional partitioned Heronian mean aggregation operators , 2020, Int. J. Intell. Syst..
[21] Xindong Peng,et al. ALGORITHMS FOR INTERVAL NEUTROSOPHIC MULTIPLE ATTRIBUTE DECISION-MAKING BASED ON MABAC, SIMILARITY MEASURE, AND EDAS , 2018 .
[22] Feng Liu,et al. A multicriteria model for the selection of the transport service provider: A single valued neutrosophic DEMATEL multicriteria model , 2018, Decision Making: Applications in Management and Engineering.
[23] Thomas A. Lipo,et al. Design of an Improved Dual-Stator Ferrite Magnet Vernier Machine to Replace an Industrial Rare-Earth IPM Machine , 2019, IEEE Transactions on Energy Conversion.
[24] Antonio Nieto,et al. An economics strategy for criticality – Application to rare earth element Yttrium in new lighting technology and its sustainable availability , 2017 .
[25] Na Li,et al. Pythagorean fuzzy interaction power Bonferroni mean aggregation operators in multiple attribute decision making , 2020, Int. J. Intell. Syst..
[26] Robert Pell,et al. Temporally explicit life cycle assessment as an environmental performance decision making tool in rare earth project development , 2019, Minerals Engineering.
[27] Harish Garg,et al. The mean operators and generalized products of fuzzy soft matrices and their applications in MCGDM , 2020, Computational and Applied Mathematics.
[28] Xuedong Liang,et al. Evaluation and Policy Research on the Sustainable Development of China’s Rare Earth Resources , 2018, Sustainability.
[29] Harish Garg,et al. Generalized and group-based generalized intuitionistic fuzzy soft sets with applications in decision-making , 2017, Applied Intelligence.
[30] E. Zavadskas,et al. A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems , 2019, Management Decision.
[31] Florentin Smarandache,et al. New Results on Neutrosophic Extended Triplet Groups Equipped with a Partial Order , 2019, Symmetry.
[32] Jurgita Antucheviciene,et al. A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations , 2018 .
[33] Chong Liu,et al. Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set , 2018, J. Intell. Fuzzy Syst..
[34] Harish Garg,et al. New generalised Bonferroni mean aggregation operators of complex intuitionistic fuzzy information based on Archimedean t-norm and t-conorm , 2019, J. Exp. Theor. Artif. Intell..
[35] Ali Karaşan,et al. Solid Waste Disposal Site Selection by Using Neutrosophic Combined Compromise Solution Method , 2019, EUSFLAT Conf..
[36] Ahmed Khalil,et al. A new expert system in prediction of lung cancer disease based on fuzzy soft sets , 2020, Soft Computing.
[37] Jianqiang Wang,et al. Extended Z-MABAC Method Based on Regret Theory and Directed Distance for Regional Circular Economy Development Program Selection With Z-Information , 2020, IEEE Transactions on Fuzzy Systems.
[38] Jianping Ge,et al. Scenarios of rare earth elements demand driven by automotive electrification in China: 2018–2030 , 2019, Resources, Conservation and Recycling.
[39] Said Broumi,et al. Neutrosophic soft sets and neutrosophic soft matrices based on decision making , 2014, 1404.0673.
[40] Masooma Raza Hashmi,et al. Fixed points of fuzzy neutrosophic soft mapping with decision-making , 2018 .
[41] Min Zhang,et al. New Technique for Using SMES to Limit Fault Currents in Wind Farm Power Systems , 2018, IEEE Transactions on Applied Superconductivity.
[42] Jordi-Roger Riba,et al. Rare-earth-free propulsion motors for electric vehicles: A technology review , 2016 .
[43] Harish Garg,et al. Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure , 2018, Computers & Industrial Engineering.
[44] Harish Garg,et al. Maclaurin symmetric mean aggregation operators based on t-norm operations for the dual hesitant fuzzy soft set , 2019, Journal of Ambient Intelligence and Humanized Computing.
[45] Manju Khari,et al. Neutrosophic soft set decision making for stock trending analysis , 2018, Evol. Syst..
[46] D. Molodtsov. Soft set theory—First results , 1999 .
[47] Romualdas Bausys,et al. Sustainable Assessment of Alternative Sites for the Construction of a Waste Incineration Plant by Applying WASPAS Method with Single-Valued Neutrosophic Set , 2015 .
[48] Emin Aygün,et al. Some generalized operations in soft set theory and their role in similarity and decision making , 2019, J. Intell. Fuzzy Syst..
[49] P. Dey,et al. Neutrosophic Soft Multi-Attribute Decision Making Based on Grey Relational Projection Method , 2016 .
[50] Ke Gong,et al. Algorithm for Neutrosophic Soft Sets in Stochastic Multi-Criteria Group Decision Making Based on Prospect Theory , 2019, Symmetry.
[51] V. Kafarov,et al. A novel hybrid approach based on fuzzy multi-criteria decision-making tools for assessing sustainable alternatives of power generation in San Andrés Island , 2019, Renewable and Sustainable Energy Reviews.
[52] Harish Garg,et al. Linguistic Interval-Valued Atanassov Intuitionistic Fuzzy Sets and Their Applications to Group Decision Making Problems , 2019, IEEE Transactions on Fuzzy Systems.
[53] Ayşegül Tuş,et al. The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem , 2019, OPSEARCH.
[54] Yiyu Yao,et al. Covering based multigranulation fuzzy rough sets and corresponding applications , 2019, Artificial Intelligence Review.
[55] Rajshekhar Sunderraman,et al. Single Valued Neutrosophic Sets , 2010 .
[56] Faruk Karaaslan,et al. Neutrosophic soft sets with applications in decision making , 2014, ArXiv.
[57] Li Quan,et al. Design and Multi-Objective Stratified Optimization of a Less-Rare-Earth Hybrid Permanent Magnets Motor With High Torque Density and Low Cost , 2019, IEEE Transactions on Energy Conversion.
[58] Harish Garg,et al. A novel divergence measure and its based TOPSIS method for multi criteria decision-making under single-valued neutrosophic environment , 2019, J. Intell. Fuzzy Syst..
[59] Hai-Hui Huang,et al. An integrative analysis system of gene expression using self-paced learning and SCAD-Net , 2019, Expert Syst. Appl..
[60] E. Triantaphyllou,et al. Ranking irregularities when evaluating alternatives by using some ELECTRE methods , 2008 .
[61] Hüseyin Kamaci. Similarity measure for soft matrices and its applications , 2019, J. Intell. Fuzzy Syst..
[62] Harish Garg,et al. Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets , 2020, Inf. Sci..
[63] Hongjun Guan,et al. Neutrosophic Soft Sets Forecasting Model for Multi-Attribute Time Series , 2019, IEEE Access.
[64] Ju Lee,et al. HEV Motor Comparison of IPMSM With Nd Sintered Magnet and Heavy Rare-Earth Free Injection Magnet in the Same Size , 2018, IEEE Transactions on Applied Superconductivity.
[65] Nabeel A. Mancheri,et al. Effect of Chinese policies on rare earth supply chain resilience , 2019, Resources, Conservation and Recycling.
[66] Gao-Feng Yu,et al. A Compromise-Typed Variable Weight Decision Method for Hybrid Multiattribute Decision Making , 2019, IEEE Transactions on Fuzzy Systems.
[67] Said Broumi,et al. Neutrosophic soft matrices and NSM-decision making , 2015, J. Intell. Fuzzy Syst..
[68] Nese Yalçin,et al. A multi-criteria performance analysis of Initial Public Offering (IPO) firms using CRITIC and VIKOR methods , 2017 .
[69] Xindong Peng,et al. Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function , 2018, Neural Computing and Applications.
[70] Xindong Peng,et al. Research on the assessment of classroom teaching quality with q‐rung orthopair fuzzy information based on multiparametric similarity measure and combinative distance‐based assessment , 2019, Int. J. Intell. Syst..
[71] Madhumangal Pal,et al. A Robust Single-Valued Neutrosophic Soft Aggregation Operators in Multi-Criteria Decision Making , 2019, Symmetry.
[72] Harish Garg,et al. New Operations on Interval-Valued Picture Fuzzy Set, Interval-Valued Picture Fuzzy Soft Set and Their Applications , 2019, IEEE Access.
[73] Kristin Vekasi,et al. Politics, markets, and rare commodities: responses to Chinese rare earth policy , 2018, Japanese Journal of Political Science.
[74] Pabitra Kumar Maji,et al. A Neutrosophic Soft Set Approach to a Decision Making Problem , 2013 .
[75] F. Vegliò,et al. Sustainability analysis of innovative technologies for the rare earth elements recovery , 2019, Renewable and Sustainable Energy Reviews.