Decision-Making Approach by Using Choice Value and Weighted Choice Value of Interval-Valued Fuzzy Sets

Bhavani Gokila D.^1,*, Vijayalakshmi V. M.²

¹Research Scholar, Department of Mathematics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India 

²Assistant Professor, Department of Science and Humanities, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India

Emails: 19phmaf006@avinuty.ac.in; vmviji_sh@avinuty.ac.in  

Abstract

This paper tackles the difficulty of accurately modeling uncertainty in complicated DM settings, where conventional FS models frequently fail. The IVFS theory, a broadening FS theory, is a potent tool that can offer the potential to approach uncertain data in vague environment in order to get over these restrictions. This paper presents an application of IVFS in a DM challenges, where on CV and WCV of an IVFS are used to select a qualified applicant for the HR manager position. Additionally, sensitivity analysis has demonstrated the stability of the final decision.

Keywords: FS; IVFS; CVIVFS; WCVIVFS