Open AccessFuzzy Rough Information Measures and their Applications
Author(s) -
Seema Singh,
D. S. Hooda,
S. C. Malik
Publication year - 2021
Publication title -
international journal of computational science and information technology
Language(s) - English
Resource type - Journals
eISSN - 2320-8457
pISSN - 2320-7442
DOI - 10.5121/ijcsity.2021.9401
Subject(s) - rough set , entropy (arrow of time) , data mining , dominance based rough set approach , fuzzy logic , fuzzy set , measure (data warehouse) , mathematics , computer science , artificial intelligence , machine learning , physics , quantum mechanics
The degree of roughness characterizes the uncertainty contained in a rough set. The rough entropy was defined to measure the roughness of a rough set. Though, it was effective and useful, but not accurate enough. Some authors use information measure in place of entropy for better understanding which measures the amount of uncertainty contained in fuzzy rough set .In this paper three new fuzzy rough information measures are proposed and their validity is verified. The application of these proposed information measures in decision making problems is studied and also compared with other existing information measures.