Title: Twin approximation space and its application in analysing employee engagement and employee value proposition

Authors: B. Praba; G. Gomathi; Vijaya Mani

Addresses: Department of Mathematics, SSN College of Engineering, Chennai, Tamil Nadu, India ' Department of Mathematics, SSN College of Engineering, Chennai, Tamil Nadu, India ' SSN School of Management, Rajiv Gandhi Salai (OMR), Chennai, Tamil Nadu, India

Abstract: The concept of rough set was introduced by Pawlak is efficiently used in data analysis. In this paper, we have introduce twin rough set defined on a twin approximation space I = (U,A,B) where U is a non-empty finite set of objects and A and B are the two disjoint set of fuzzy attributes on the elements of U. This novel definition plays a vital role in comparing the influence of a set of attributes in A over that of B on the elements of U. Also, we have proposed an algorithm for this comparative analysis and the proposed algorithm is illustrated by taking a real time data. In this, a detailed analysis is done in comparing the two significant aspects namely employee engagement and employee value proposition of the employees in an organisation.

Keywords: fuzzy set theory; rough set theory; information system.

DOI: 10.1504/IJAMS.2020.110342

International Journal of Applied Management Science, 2020 Vol.12 No.4, pp.299 - 308

Received: 16 Jan 2019
Accepted: 15 Mar 2019

Published online: 30 Apr 2020 *

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