The multi-decision-making problem in the recruitment process using penta-partitioned neutrosophic distance measure
Publish Year: 1404
نوع سند: مقاله ژورنالی
زبان: English
View: 32
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJNAA-16-4_005
تاریخ نمایه سازی: 24 شهریور 1403
Abstract:
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.
Keywords:
neutrosophic sets , Penta partitioned neutrosophic sets , Penta partitioned neutrosophic distance measures , multi-criteria decision-making problems , Recruitment problem
Authors
M. Arockia Dasan
Department of Mathematics, St. Jude’s College, Thoothoor, Kanyakumari-۶۲۹ ۱۷۶, Tamil Nadu, India
E. Bementa
PG and Research Department of Physics, Arul Anandar College, Karumathur, Madurai-۶۲۵ ۵۱۴, Tamil Nadu, India
Haydar Akca
Department of Applied Sciences and Mathematics, Abu Dhabi University College of Arts and Sciences, P.O.Box.۵۹۹۱۱, Abu Dhabi, UAE
V.F. Little Flower
Department of Mathematics, Arunachala College of Arts and Science for Women, Vellichanthai, Kanyakumari-۶۲۹۲۰۳, Tamil Nadu, India
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :