Pre-training analysis for student's placement training using hendecagonal fuzzy number with similarity measure

M. Revathi and M. Valliathal

International Journal of Services and Operations Management, 2021, vol. 39, issue 4, 451-476

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.

Keywords: hendecagonal fuzzy number; HDFN; fuzzy arithmetic; ranking fuzzy numbers; fuzzy group decision-making; linguistic variables. (search for similar items in EconPapers)
Date: 2021
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