Modified fuzzy divergence measure and its applications to medical diagnosis and MCDM

Article type: Research Article

Authors: Parkash, Om | Kumar, Rakesh^{; *}

Affiliations: Department of Mathematics, Guru Nanak Dev University, Amritsar, India. E-mails: [email protected], [email protected]

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: The existing literature of fuzzy divergence measures provides a variety of such measures scoring one over the other and even having certain drawbacks. The main objective of the present communication is to remove such drawbacks and propose a modified fuzzy divergence measure along with the study of its detailed properties. The applications of this modified version of fuzzy divergence measure have been provided to the fields of medical diagnosis and multi-criteria decision making (MCDM) problem. Numerical verification has been illustrated to demonstrate the proposed method under fuzzy environment.

Keywords: Fuzzy sets, fuzzy divergence measure, multi-criteria decision making, medical diagnosis

DOI: 10.3233/RDA-170126

Journal: Risk and Decision Analysis, vol. 6, no. 3, pp. 231-237, 2017