Symmetry Measures of Simplified Neutrosophic Sets for Multiple Attribute Decision-Making Problems
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[1] uan-juan Penga,et al. An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets , 2014 .
[2] Jun Ye. Vector Similarity Measures of Simplified Neutrosophic Sets and Their Application in Multicriteria Decision Making , 2014 .
[3] Hong-yu Zhang,et al. An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems , 2015, Int. J. Comput. Intell. Syst..
[4] Jun Ye,et al. Projection and bidirectional projection measures of single-valued neutrosophic sets and their decision-making method for mechanical design schemes , 2017, J. Exp. Theor. Artif. Intell..
[5] Hong-yu Zhang,et al. An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets , 2015, Neural Computing and Applications.
[6] Jun Ye. Single valued neutrosophic cross-entropy for multicriteria decision making problems , 2014 .
[7] Romualdas Bausys,et al. Model for residential house element and material selection by neutrosophic MULTIMOORA method , 2017, Engineering applications of artificial intelligence.
[8] Bijan Davvaz,et al. Properties of single-valued neutrosophic graphs , 2018, Journal of Intelligent & Fuzzy Systems.
[9] Hong-yu Zhang,et al. Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems , 2014, TheScientificWorldJournal.
[10] Guan Hongjun,et al. Interval valued neutrosophic sets and multi-attribute decision-making based on generalized weighted aggregation operator , 2015 .
[11] Yanqing Zhang,et al. Interval Neutrosophic Sets and Logic: Theory and Applications in Computing , 2005, ArXiv.
[12] Peide Liu,et al. Some Generalized Neutrosophic Number Hamacher Aggregation Operators and Their Application to Group Decision Making , 2014 .
[13] Romualdas Bausys,et al. Garage location selection for residential house by WASPAS-SVNS method , 2017 .
[14] Yao Ouyang,et al. Interval neutrosophic numbers Choquet integral operator for multi-criteria decision making , 2015, J. Intell. Fuzzy Syst..
[15] Elyas Shivanian,et al. AN EXTENDED METHOD USING TOPSIS AND VIKOR FOR MULTIPLE ATTRIBUTE DECISION MAKING WITH MULTIPLE DECISION MAKERS AND SINGLE VALUED NEUTROSOPHIC NUMBERS , 2017 .
[16] Peide Liu,et al. Interval neutrosophic prioritized OWA operator and its application to multiple attribute decision making , 2016, J. Syst. Sci. Complex..
[17] Hong-yu Zhang,et al. Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems , 2016, Int. J. Syst. Sci..
[18] Hong-yu Zhang,et al. outranking approach for multi-criteria decision-making problems ith simplified neutrosophic sets uan - , 2014 .
[19] Jun Ye,et al. Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment , 2013, Int. J. Gen. Syst..
[20] Jun Ye,et al. Another Form of Correlation Coefficient between Single Valued Neutrosophic Sets and Its Multiple Attribute Decision Making Method , 2019 .
[21] Jun Ye,et al. Simplified neutrosophic harmonic averaging projection-based method for multiple attribute decision-making problems , 2015, International Journal of Machine Learning and Cybernetics.
[22] Jun Ye,et al. A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets , 2014, J. Intell. Fuzzy Syst..
[23] Peide Liu,et al. Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean , 2014, Neural Computing and Applications.
[24] Surapati Pramanik,et al. TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment , 2014, Neural Computing and Applications.
[25] Rajshekhar Sunderraman,et al. Single Valued Neutrosophic Sets , 2010 .
[26] Jun Ye,et al. Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making , 2014, J. Intell. Fuzzy Syst..