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

Authors: M. Revathi; M. Valliathal

Addresses: Tamilnadu School of Architecture, Coimbatore, 641659, Tamilnadu, India ' Chikkaiah Naicker College, Erode, 638004, Tamilnadu, India

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.

DOI: 10.1504/IJSOM.2021.117647

International Journal of Services and Operations Management, 2021 Vol.39 No.4, pp.451 - 476

Received: 27 Nov 2018
Accepted: 23 Jun 2019
Published online: 20 Sep 2021 *

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