New multiparametric similarity measure for neutrosophic set with big data industry evaluation

[1]  Jianming Zhan,et al.  A novel type of soft rough covering and its application to multicriteria group decision making , 2019, Artificial Intelligence Review.

[2]  Hai-Hui Huang,et al.  An integrative analysis system of gene expression using self-paced learning and SCAD-Net , 2019, Expert Syst. Appl..

[3]  Fanyong Meng,et al.  Deriving the priority weights from multiplicative consistent single-valued neutrosophic preference relations , 2019, Neural Computing and Applications.

[4]  Xindong Peng,et al.  Pythagorean fuzzy set: state of the art and future directions , 2017, Artificial Intelligence Review.

[5]  Florentin Smarandache,et al.  Novel neutrosophic Dombi Bonferroni mean operators with mobile cloud computing industry evaluation , 2019, Expert Syst. J. Knowl. Eng..

[6]  Xindong Peng,et al.  Interval Neutrosophic Reducible Weighted Maclaurin Symmetric Means With Internet of Medical Things (IoMt) Industry Evaluation , 2019, IEEE Access.

[7]  Arindam Dey,et al.  Shortest path problem using Bellman algorithm under neutrosophic environment , 2019, Complex & Intelligent Systems.

[8]  Guiwu Wei,et al.  Some single-valued neutrosophic Bonferroni power aggregation operators in multiple attribute decision making , 2019, J. Ambient Intell. Humaniz. Comput..

[9]  A. Young.  Trends, challenges and opportunities , 2018, World Humanitarian Data and Trends.

[10]  Mouzhi Ge,et al.  Big Data for Internet of Things: A Survey , 2018, Future Gener. Comput. Syst..

[11]  Kannan Govindan,et al.  Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets , 2018, Journal of Cleaner Production.

[12]  Guiwu Wei,et al.  Some single-valued neutrosophic dombi prioritized weighted aggregation operators in multiple attribute decision making , 2018, J. Intell. Fuzzy Syst..

[13]  Xindong Peng,et al.  A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017 , 2018, Artificial Intelligence Review.

[14]  Kah Phooi Seng,et al.  Big data and machine learning for crop protection , 2018, Comput. Electron. Agric..

[15]  Harish Garg,et al.  Multi-Criteria Decision-Making Method Based on Prioritized Muirhead Mean Aggregation Operator under Neutrosophic Set Environment , 2018, Symmetry.

[16]  Jun Ye,et al.  Improved Symmetry Measures of Simplified Neutrosophic Sets and Their Decision-Making Method Based on a Sine Entropy Weight Model , 2018, Symmetry.

[17]  Yueming Hu,et al.  Distributed Feature Selection for Efficient Economic Big Data Analysis , 2018, IEEE Transactions on Big Data.

[18]  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.

[19]  Xiaohong Zhang,et al.  New inclusion relation of neutrosophic sets with applications and related lattice structure , 2018, Int. J. Mach. Learn. Cybern..

[20]  Kalyan Mondal,et al.  Hybrid Binary Logarithm Similarity Measure for MAGDM Problems under SVNS Assessments , 2018 .

[21]  Kalyan Mondal,et al.  Single Valued Neutrosophic Hyperbolic Sine Similarity Measure Based MADM Strategy , 2018 .

[22]  Jian-Qiang Wang,et al.  A Multicriteria Group Decision-Making Method Based on the Normal Cloud Model With Zadeh's Z -Numbers , 2018, IEEE Transactions on Fuzzy Systems.

[23]  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..

[24]  Xindong Peng,et al.  ALGORITHMS FOR INTERVAL NEUTROSOPHIC MULTIPLE ATTRIBUTE DECISION-MAKING BASED ON MABAC, SIMILARITY MEASURE, AND EDAS , 2018 .

[25]  Ye Yuan,et al.  On entropy, similarity measure and cross-entropy of single-valued neutrosophic sets and their application in multi-attribute decision making , 2018, Soft Computing.

[26]  Ming Tang,et al.  A Bibliometric Analysis and Visualization of Medical Big Data Research , 2018 .

[27]  Harish Garg,et al.  Some New Biparametric Distance Measures on Single-Valued Neutrosophic Sets with Applications to Pattern Recognition and Medical Diagnosis , 2017, Inf..

[28]  Kanika Mandal,et al.  Improved similarity measure in neutrosophic environment and its application in finding minimum spanning tree , 2017, J. Intell. Fuzzy Syst..

[29]  Gui-Wu Wei,et al.  TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making , 2017, Inf..

[30]  José Carlos Rodriguez Alcantud,et al.  Separable fuzzy soft sets and decision making with positive and negative attributes , 2017, Appl. Soft Comput..

[31]  Shah Jahan Miah,et al.  A Big Data Analytics Method for Tourist Behaviour Analysis , 2017, Inf. Manag..

[32]  Jing Fu,et al.  Simplified Neutrosophic Exponential Similarity Measures for the Initial Evaluation/Diagnosis of Benign Prostatic Hyperplasia Symptoms , 2017, Symmetry.

[33]  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..

[34]  Jun Ye,et al.  Some Single-Valued Neutrosophic Dombi Weighted Aggregation Operators for Multiple Attribute Decision-Making , 2017, Symmetry.

[35]  Harish Garg,et al.  Novel Single-Valued Neutrosophic Aggregated Operators Under Frank Norm Operation and Its Application to Decision-Making Process , 2017 .

[36]  Jun Ye,et al.  Subtraction and Division Operations of Simplified Neutrosophic Sets , 2017, Inf..

[37]  Jun Ye,et al.  Single-Valued Neutrosophic Clustering Algorithms Based on Similarity Measures , 2017, J. Classif..

[38]  Witold Pedrycz,et al.  An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities , 2017, Knowl. Based Syst..

[39]  Han-Liang Huang,et al.  New Distance Measure of Single‐Valued Neutrosophic Sets and Its Application , 2016, Int. J. Intell. Syst..

[40]  Hong-yu Zhang,et al.  Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems , 2016, Int. J. Syst. Sci..

[41]  Peide Liu,et al.  The Aggregation Operators Based on Archimedean t-Conorm and t-Norm for Single-Valued Neutrosophic Numbers and their Application to Decision Making , 2016, International Journal of Fuzzy Systems.

[42]  Jing Fu,et al.  Multi-period medical diagnosis method using a single valued neutrosophic similarity measure based on tangent function , 2015, Comput. Methods Programs Biomed..

[43]  Andrzej Skowron,et al.  Data science, big data and granular mining , 2015, Pattern Recognit. Lett..

[44]  Surapati Pramanik,et al.  Hybrid vector similarity measures and their applications to multi-attribute decision making under neutrosophic environment , 2015, Neural Computing and Applications.

[45]  Yong Yang,et al.  Some Results for Pythagorean Fuzzy Sets , 2015, Int. J. Intell. Syst..

[46]  Jun Ye,et al.  Single-valued neutrosophic similarity measures based on cotangent function and their application in the fault diagnosis of steam turbine , 2015, Soft Computing.

[47]  Peide Liu,et al.  Multiple attribute group decision-making method based on neutrosophic number generalized hybrid weighted averaging operator , 2015, Neural Computing and Applications.

[48]  Jun Ye,et al.  Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses , 2015, Artif. Intell. Medicine.

[49]  Surapati Pramanik,et al.  TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment , 2014, Neural Computing and Applications.

[50]  Peide Liu,et al.  Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean , 2014, Neural Computing and Applications.

[51]  Ridvan Sahin,et al.  Subsethood measure for single valued neutrosophic sets , 2014, J. Intell. Fuzzy Syst..

[52]  Jun Ye,et al.  Multiple attribute group decision-making method with completely unknown weights based on similarity measures under single valued neutrosophic environment , 2014, J. Intell. Fuzzy Syst..

[53]  Jun Ye,et al.  Clustering Methods Using Distance-Based Similarity Measures of Single-Valued Neutrosophic Sets , 2014, J. Intell. Syst..

[54]  Peide Liu,et al.  Some Generalized Neutrosophic Number Hamacher Aggregation Operators and Their Application to Group Decision Making , 2014 .

[55]  Jun Ye,et al.  Single valued neutrosophic cross-entropy for multicriteria decision making problems , 2014 .

[56]  F. Smarandache,et al.  Several Similarity Measures of Neutrosophic Sets , 2013 .

[57]  Pinaki Majumdar,et al.  On similarity and entropy of neutrosophic sets , 2013, J. Intell. Fuzzy Syst..

[58]  Jun Ye,et al.  Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment , 2013, Int. J. Gen. Syst..

[59]  Rajshekhar Sunderraman,et al.  Single Valued Neutrosophic Sets , 2010 .

[60]  E. Triantaphyllou,et al.  Ranking irregularities when evaluating alternatives by using some ELECTRE methods , 2008 .

[61]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[62]  Xindong Peng,et al.  Neutrosophic Reducible Weighted Maclaurin Symmetric Mean for Undergraduate Teaching Audit and Evaluation , 2019, IEEE Access.

[63]  Xiaohong Chen,et al.  Novel single-valued neutrosophic decision-making approaches based on prospect theory and their applications in physician selection , 2019, Soft Comput..

[64]  Jun Ye,et al.  Subtraction and Division Operations of Simplified Neutrosophic Sets , 2017 .

[65]  Yubao Chen,et al.  Some Single Valued Neutrosophic Number Heronian Mean Operators and Their Application in Multiple Attribute Group Decision Making , 2016, Informatica.

[66]  Jurgita Antucheviciene,et al.  A New Method of Assessment Based on Fuzzy Ranking and Aggregated Weights (AFRAW) for MCDM Problems Under Type-2 Fuzzy Environment , 2016 .

[67]  Jun Ye.  Vector Similarity Measures of Simplified Neutrosophic Sets and Their Application in Multicriteria Decision Making , 2014 .