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Abstract
Since the future of the society depends upon the role of students, so suitable career selection methods for the students are considered to be an important problem to explore. It is assumed that if a student has the required capability and positive attitudes towards a subject, then the student will achieve more in that subject. To consider the uncertain issues involved with students’ career selection, picture fuzzy set (PFS) and rough set based approaches are proposed in this study as they are found to be appropriate due to their inherent characteristics to deal with incomplete and imprecise information. For the purpose of selecting a suitable career, the article analyzes student's features in terms of career, memory, interest, knowledge, environment and attitude. We propose two hybridized distance measures using Hausdorff, Hamming and Euclidian distances under picture fuzzy environment where the evaluating information regarding students, subjects and student's features are given in picture fuzzy numbers. Then we present an algorithmic approach using the proposed distance measures and rough set theory. We apply rough set theory to determine whether a particular subject is suitable for a student even if there is controversy to select a stream. Lower and higher approximation with boundary region of rough set theory is used to manage the inconsistent situations. Finally, two case studies are demonstrated to validate the applicability of the proposed idea.
Highlights
Selection of the subject for a better career of a student is a vital task since it is concerned with future employment which influences the whole life of the student and leads to social development
Career selection of students using hybridized distance measure based on picture fuzzy set and rough set theory
Career selection of students using hybridized distance measure based on picture fuzzy set and rough set theory potential is to be taken into consideration when choosing a stream as a career
Summary
Selection of the subject for a better career of a student is a vital task since it is concerned with future employment which influences the whole life of the student and leads to social development. In (Dutta, 2018), authors discussed the application of PFS in medical diagnosis, but as per our knowledge, a very few researchers have applied fuzzy set theory in career selection the deciding on choosing stream is a vital and critical task (Wen et al, 2018). Career selection of students using hybridized distance measure based on picture fuzzy set and rough set theory potential is to be taken into consideration when choosing a stream as a career. We have considered a student's features as interest, knowledge, memory, career, attitude and environment impact towards the specific stream With these two quantities, we investigate the distance between the student and the subjects using the proposed hybridized distance measures and select the subject as the career which has a minimum distance from the student.
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