Laxmi, S., Gupta, S. K., & Kumar, S. (2024). Intuitionistic fuzzy least square twin support vector machines for pattern classification. Annals of Operations Research, 339(3), 1329-1378. https://doi.org/10.1007/s10479-022-04626-2
ISO-690 (author-date, English)LAXMI, Scindhiya, GUPTA, S. K. and KUMAR, Sumit, 2024. Intuitionistic fuzzy least square twin support vector machines for pattern classification. Annals of Operations Research. 1 August 2024. Vol. 339, no. 3, p. 1329-1378. DOI 10.1007/s10479-022-04626-2.
Modern Language Association 9th editionLaxmi, S., S. K. Gupta, and S. Kumar. “Intuitionistic Fuzzy Least Square Twin Support Vector Machines for Pattern Classification”. Annals of Operations Research, vol. 339, no. 3, Aug. 2024, pp. 1329-78, https://doi.org/10.1007/s10479-022-04626-2.
Mohr Siebeck - Recht (Deutsch - Österreich)Laxmi, Scindhiya/Gupta, S. K./Kumar, Sumit: Intuitionistic fuzzy least square twin support vector machines for pattern classification, Annals of Operations Research 2024, 1329-1378.
Emerald - HarvardLaxmi, S., Gupta, S.K. and Kumar, S. (2024), “Intuitionistic fuzzy least square twin support vector machines for pattern classification”, Annals of Operations Research, Vol. 339 No. 3, pp. 1329-1378.