Arockia Dasan, M., Bementa, E., Akca, Haydar, Little Flower, V.F.. (1404). The multi-decision-making problem in the recruitment process using penta-partitioned neutrosophic distance measure. هنرهای کاربردی, 16(4), 57-70. doi: 10.22075/ijnaa.2024.32725.4869
M. Arockia Dasan; E. Bementa; Haydar Akca; V.F. Little Flower. "The multi-decision-making problem in the recruitment process using penta-partitioned neutrosophic distance measure". هنرهای کاربردی, 16, 4, 1404, 57-70. doi: 10.22075/ijnaa.2024.32725.4869
Arockia Dasan, M., Bementa, E., Akca, Haydar, Little Flower, V.F.. (1404). 'The multi-decision-making problem in the recruitment process using penta-partitioned neutrosophic distance measure', هنرهای کاربردی, 16(4), pp. 57-70. doi: 10.22075/ijnaa.2024.32725.4869
Arockia Dasan, M., Bementa, E., Akca, Haydar, Little Flower, V.F.. The multi-decision-making problem in the recruitment process using penta-partitioned neutrosophic distance measure. هنرهای کاربردی, 1404; 16(4): 57-70. doi: 10.22075/ijnaa.2024.32725.4869

The multi-decision-making problem in the recruitment process using penta-partitioned neutrosophic distance measure

International Journal of Nonlinear Analysis and Applications
مقاله 5، دوره 16، شماره 4، تیر 2025، صفحه 57-70    اصل مقاله (900.32 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.32725.4869
نویسندگان
M. Arockia Dasan1؛ E. Bementa2؛ Haydar Akca* 3؛ V.F. Little Flower4
1Department of Mathematics, St. Jude’s College, Thoothoor, Kanyakumari-629 176, Tamil Nadu, India
2PG and Research Department of Physics, Arul Anandar College, Karumathur, Madurai-625 514, Tamil Nadu, India
3Department of Applied Sciences and Mathematics, Abu Dhabi University College of Arts and Sciences, P.O.Box.59911, Abu Dhabi, UAE
4Department of Mathematics, Arunachala College of Arts and Science for Women, Vellichanthai, Kanyakumari-629203, Tamil Nadu, India
چکیده
In this article, we introduce some different distance measures on penta-partitioned neutrosophic sets and some distance measures satisfy axioms of metric. We also formulate a new methodological approach to solve the multi-criteria decision-making problems, in which the suitable decision is by ranking the average of the proposed penta partitioned neutrosophic distance measure for the alternatives to the criteria under certain conditional criteria. Further, we apply these distance measures to a multi-criteria decision-making problem (MCDM) for the best employee selection to recruit for a post. The comparison is finally made between the proposed distance measures and the final decisions are the same in all penta-partitioned neutrosophic distance measures.
کلیدواژه‌ها
Neutrosophic sets؛ Penta partitioned neutrosophic sets؛ Penta partitioned neutrosophic distance measures؛ multi-criteria decision-making problems؛ Recruitment problem
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