Pre-training analysis for student's placement training using hendecagonal fuzzy number with similarity measure Online publication date: Mon, 20-Sep-2021
by M. Revathi; M. Valliathal
International Journal of Services and Operations Management (IJSOM), Vol. 39, No. 4, 2021
Abstract: Multi-criteria group decision-making approaches with fuzzy theory are trendy in the area of decision science. Frequently decision-makers express their judgment linguistically. This study aims to categorise the student's basic knowledge level in order to provide pre-placement training for the students in the placement. A method is constructed using several linguistic values with different weights using the fuzzy number grading system. An algorithm for fuzzy multi-criteria group decision-making (FMCGDM) is proposed with the notion of hendecagonal fuzzy number (HDFN) and symmetric hendecagonal fuzzy number (symmHDFN). Also, complex proportional assessment (COPRAS) method is used for group decision-making approach, to assess the performance of students in the pre-placement training. Based on the report generated, the college can arrange varying levels of training using fuzzy decision theory.
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