Fuzzy Soft Set Based Classification for Rock Dataset
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7339-2_51
Reference13 articles.
1. Joseph, S., Ujir, H., Hipiny, I.: Unsupervised classification of Intrusive igneous rock thin section images using edge detection and colour analysis. In: 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), pp. 530–534 (2017)
2. Rangel, D.N., Reyes Santiago, O., Rodríguez, A.N., Rojas, A.F., González, E.A.P.: Correlation between morphometric parameters and geology of igneous and metamorphic basins in Colombia. In: 2020 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI), pp. 1–6 (2020)
3. Bai, Z., Zhong, H., Hu, R., Zhu, W., Hu, W.: Composition of the chilled marginal rocks of the panzhihua layered intrusion, emeishan large igneous province, SW China: implications for parental magma compositions, sulfide saturation history and Fe–Ti oxide mineralization. J. Petrol. 60(3), 619–648 (2019)
4. Schön, J.H.: Chapter 1 - rocks—their classification and general properties. In: Schön, J.H. (ed.) Physical Properties of Rocks, vol. 65, pp. 1–19. Elsevier (2015)
5. Handaga, B., Herawan, T., Deris, M.M.: FSSC: an algorithm for classifying numerical data using fuzzy soft set theory. Int. J. Fuzzy Syst. Appl. 2(4), 29–46 (2012)
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