[1] A. Alkuhlani, M. Nassef and I. Farag, Multistage feature selection approach for high-dimensional cancer data, Soft Comput., 21 (2017), 6895-6906.
[2] A. Grossmann and J. Morlet, Decomposition of hardy functions into square integrable wavelets of constant shape, SIAM J. Math. Anal., 15(4) (1984), 723-736.
[3] A.M.S Roque, C. Mate, j. Arroyo and A. Sarabia, Imlp: applying multi-layer perceptrons to interval-valued data. Neural processing letters, SIAM J. Math. Anal., 25 (2007), 157-169.
[4] D.S Huang and CH. Zheng, Independent component analysis-based penalized discriminant Method for tumor classification using gene expression data, Biostat. Bioinform. Biomath., 22(15) (2006) 1855-1862.
[5] E. Nasibov and A. Mert, On methods of defuzzification of parametrically represented fuzzy numbers, Autom. Control Comput. Sci., 41 (2007), 265-273.
[6] E. Nasibov, Aggregation of fuzzy information on the basis of decompositional representation, Cybern. Syst. Anal., 41(2), (2005), 309-318.
[7] L. Yang and Z. Xu, Feature extraction by pca and diagnosis of breast tumors using SVM with de-based parameter tuning, International Journal of Machine Learning and Cybernetics, 10 (2017), 591-601.
[8] L.A. Zadeh, The concept of linguistic variable and its application to approximate reasoning, Inf. Sci., 8(3) (1975), 199-249.
[9] Z.M. Hira and D.F. Gillies, A review of feature selection and feature extraction methods applied on microarray data, Advances in Bioinformatics, 2015(5) (2015), 1-13.
[10] R.E. Moore, R.B. Kearfott and M.J. Cloud, Introduction to Interval Analysis, Society for Industrial and Applied Mathematics Philadelphia, 2009.
[11] S. Sarbazi-azad, M. Saniee Abadeh and M.E. Mowlaei, Using data complexity measures and an evolutionary cultural algorithm for gene selection in microarray data, Soft computing letters, DOI:10.1016/j.socl.2020.100007, 2020.
[12] S. Tabakhi, A. Njafi. R. Ranjbar and P. Moradi, Gene selection for microarray data classification using a novel ant colony optimization, Neurocomputing, 168 (2015), 1024-1036.
[13] S.K Sava and E. Nasibov, A fuzzy id3 induction for linguistic data sets, International journal of intelligent systems, 33(4) (2018), 1-21.
[14] S.M Saqlainshah, F. Alishah, S.A Hussain and S. Batool, Support vector machines-based heart disease diagnosis using feature subset, wrapping selection and extraction methods, Comput. Electr. Eng., 84(10) (2020), DOI:10.1016/j.compeleceng.2020.106628.
[15] S.O.M kasha and M. A Akbarzadeh, A framework for short-term traffic flow forecasting using the combination of wavelet transformation and artificial neural networks, J. Intell. Transp. Syst., 23(1) (2019), 1-12.
[16] X. Zheng, W. Zhu, CH. Tang and M. Wang, Gene selection for microarray data classification via adaptive hypergraph embedded dictionary learning, Gene, 706 (2019), 188-200.
[17] Y. Liu, Wavelet feature extraction for high-dimensional microarray data, Neurocomputing, 72 (2009), 985-990.
[18] X. Wu and et al., Top 10 algorithms in data mining, Knowledge and Information Systems, 14 (2008), 1-37.
[19] J. Basavaiah and A.A. Anthony, Tomato Leaf Disease Classification using Multiple Feature Extraction Techniques, Wireless Personal Communications, 115 (2020), 633-651.
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