Volume 24 , Issue 2 , PP: 22-228, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Ketty M. Moscoso-Paucarchuco 1 * , Michael R. Vásquez-Ramírez 2 , Percy T. Avila-Zanabria 3 , Kathy L. Javier-Palacios 4 , Paul C. Calderon-Fernandez 5
Doi: https://doi.org/10.54216/IJNS.240219
This paper examines the disparities in job opportunities and social prosperity based on gender within Peruvian universities, particularly focusing on the Universidad Peruana Los Andes during 2021-2022. Utilizing Neutrosophic Social Structures and the Neutrosophic 2-tuples Technique, we statistically analyze the entrenched biases that categorize careers by gender, contributing to power imbalances and unequal employment rates between men and women. By modeling student data through intervals or neutrosophic numbers as per Smarandache's theory, we address the unique engagement of each student with their academic environment. Neutrosophic contingency tables are employed to present this data, and a neutrosophic chi-square test is applied to examine the correlation between students' gender and their major fields of study, which include Administrative and Accounting Sciences, Health Sciences, Law and Political Sciences, Engineering Sciences, and Pedagogical Sciences. This neutrosophic approach allows for a nuanced understanding of the indeterminate and complex nature of social phenomena, providing a clearer insight into gender parity in academic professional development.
Neutrosophic Social Structure , (t,i,f)-Neutrosophic structure model , Neutrosophic Statistics , Neutrosophic number , Neutrosophic contingency table , Neutrosophic chi-square test , Higher education , Gender parity.
[1] Veramendi-Villavicencios, N.G., Barrionuevo-Torres, C.N., Portocarrero-Merino, E., Barrionuevo-Torres, L.C., Rojas-Cotrina, A.R., Lazo-Salcedo, C.A., & Santillán-Oliva, E., Selecting a university careers with a gender perspective, Perú 2017 (In Spanish), Rev. entorno, 2018 (66), 32-41, 2018.
[2] Smarandache, F. Neutrosophy: Neutrosophic probability, set, and logic: Analytic synthesis & synthetic analysis, Technical Report, 1998.
[3] Jin, L., Zhang, C., Wen, X., & Christopher, G.G., A Neutrosophic Number-Based Memetic Algorithm for the Integrated Process Planning and Scheduling Problem With Uncertain Processing Time, IEEE Access, 8, 96628-96648, 2020.
[4] Smarandache, F., Neutrosophic social structures specificities. SSERR, 2(1), 3-10, 2015.
[5] Smarandache, F., Gifu, D., & Teodorescu, M. Neutrosophic elements in discourse. SSERR, 2(1), 25-32, 2015.
[6] Aslam, M. & Arif, O. H., Test of Association in the Presence of Complex Environment. Complexity, 2020, 1-6, 2020.
[7] Smarandache, F. (t, i, f)-Neutrosophic Structures &/-Neutrosophic Structures (revisited). NSS, 8, 3-10, 2015.
[8] Gutiérrez-Gómez, E., Moscoso-Paucarchuco, K.M., Beraún-Espíritu, M.M., Moreno-Menéndez, F.M., Fernández-Jaime, R.J., Paco-Huamani, W.F., Vásquez-Ramírez, M.R., & Sandoval-Trigos, J.C. Study of the Pampay Mass (burial of offering) at the summit of the Andean snow-capped mountain as an example of (t, i, f)-Neutrosophic social structure, NSS, 60, 21-28, 2023.
[9] Leyva, M., Del Pozo, P., & Peñafiel, A. (2022). Neutrosophic dematel in the analysis of the causal factors of youth violence. International Journal of Neutrosophic Science, 18(3), 199-207.
[10] Woodall, W. H., Driscoll, A. R., & Montgomery, D. C. A review and perspective on neutrosophic statistical process monitoring methods. IEEE Access, 10, 100456-100462, 2022.
[11] Smarandache, F. (2022). Neutrosophic Statistics is an extension of Interval Statistics, while Plithogenic Statistics is the most general form of statistics (second version) (Vol. 2). Infinite Study.
[12] AlAita, A., & Aslam, M., Analysis of covariance under neutrosophic statistics. J. Stat. Comput. Simul., 93(3), 397-415, 2023.
[13] Aslam, M., & Albassam, M. Presenting post hoc multiple comparison tests under neutrosophic statistics. J. King Saud Univ. Sci., 32(6), 2728-2732, 2020.
[14] Aslam, M. Analyzing wind power data using analysis of means under neutrosophic statistics, Soft Comput., 25(10), 7087-7093, 2021.
[15] Cruzaty, L. E. V., Tomalá, M. R., & Gallo, C. M. C. A neutrosophic statistic method to predict tax time series in Ecuador, NSS, 34, 33-39, 2020.
[16] Hanafy, I. M., Salama, A. A., & Mahfouz, K. Correlation of neutrosophic Data, IRJES, 1(2), 39-43, 2012.
[17] Van de Velden, M., Van den Heuvel, W., Galy, H., & Groenen, P. J., Retrieving a contingency table from a correspondence analysis solution. EJOR, 283(2), 541-548, 2020.
[18] McHugh, M. L. The chi-square test of independence. Biochem. Med., 23(2), 143-149, 2013.