Career guidance for students, particularly in rural areas is a challenging issue in India. In the present era
of digitalization, there is a need of an automated system that can analyze a student for his/her capabilities,
suggest a career and provide related information. Keeping in mind the requirement, the present paper is an
effort in this direction. In this paper, a fuzzy based conceptual framework has been suggested. It has two
parts; in the first part a students will be analyzed for his/her capabilities and in the second part the
available courses, job aspects related to their capabilities will be suggested. To analyze a student, marks
in various subject in 10+2 standards and vocational interest in different fields have been considered and
fuzzy sets have been formed. On example basis, fuzzy inference rules have been framed for analyzing the
abilities in engineering, medical and hospitality fields only. In second part, concept of composition of
relations has been used to suggest the related courses and jobs
%0 Journal Article
%1 noauthororeditor
%A Raj Kishor, Bisht
%D 2015
%J Advanced Computational Intelligence: An International Journal (ACII)
%K Career Counselling Fuzzy compositions inference of relations rules sets
%N 4
%P 9
%R 10.5121/acii.2015.2404
%T A Fuzzy Based Conceptual Framework for Career Counselling
%U http://airccse.org/journal/acii/papers/2415acii04.pdf
%V 2
%X Career guidance for students, particularly in rural areas is a challenging issue in India. In the present era
of digitalization, there is a need of an automated system that can analyze a student for his/her capabilities,
suggest a career and provide related information. Keeping in mind the requirement, the present paper is an
effort in this direction. In this paper, a fuzzy based conceptual framework has been suggested. It has two
parts; in the first part a students will be analyzed for his/her capabilities and in the second part the
available courses, job aspects related to their capabilities will be suggested. To analyze a student, marks
in various subject in 10+2 standards and vocational interest in different fields have been considered and
fuzzy sets have been formed. On example basis, fuzzy inference rules have been framed for analyzing the
abilities in engineering, medical and hospitality fields only. In second part, concept of composition of
relations has been used to suggest the related courses and jobs
@article{noauthororeditor,
abstract = {Career guidance for students, particularly in rural areas is a challenging issue in India. In the present era
of digitalization, there is a need of an automated system that can analyze a student for his/her capabilities,
suggest a career and provide related information. Keeping in mind the requirement, the present paper is an
effort in this direction. In this paper, a fuzzy based conceptual framework has been suggested. It has two
parts; in the first part a students will be analyzed for his/her capabilities and in the second part the
available courses, job aspects related to their capabilities will be suggested. To analyze a student, marks
in various subject in 10+2 standards and vocational interest in different fields have been considered and
fuzzy sets have been formed. On example basis, fuzzy inference rules have been framed for analyzing the
abilities in engineering, medical and hospitality fields only. In second part, concept of composition of
relations has been used to suggest the related courses and jobs},
added-at = {2018-01-02T06:26:37.000+0100},
author = {Raj Kishor, Bisht},
biburl = {https://www.bibsonomy.org/bibtex/2b298e19c6f54483e1ca1f2d412870b5a/janakirob},
doi = {10.5121/acii.2015.2404},
interhash = {c6744966e63f3451725140f5a7b16ebd},
intrahash = {b298e19c6f54483e1ca1f2d412870b5a},
issn = {2454 - 3934},
journal = {Advanced Computational Intelligence: An International Journal (ACII)},
keywords = {Career Counselling Fuzzy compositions inference of relations rules sets},
language = {English},
month = {October},
number = 4,
pages = 9,
timestamp = {2018-01-02T06:26:37.000+0100},
title = {A Fuzzy Based Conceptual Framework for Career Counselling },
url = {http://airccse.org/journal/acii/papers/2415acii04.pdf},
volume = 2,
year = 2015
}