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Feature selection and ranking method based on intuitionistic fuzzy matrix and rough sets

Vo Bich Khue, Nguyen Hung Son

Annals of Computer Science and Information Systems

2022

Vol. 30

279--288

In this paper we propose a novel rough-fuzzy hybridization technique to feature selection and feature ranking problem. The idea is to model the local preference relation between pair of features by intuitionistic fuzzy values and search for a feature ranking that is consistent with those constraints. We apply the techniques used in group decision making where constraints are presented in form of intuitionistic fuzzy preference relation. The proposed method has been illustrated by some simple examples.

Hamacher operations on Pythagorean fuzzy matrices

Silambarasan I., Sriram S.

Journal of Applied Mathematics and Computational Mechanics

2019

Vol. 18, nr 3

69--78

In this paper, we introduce the Hamacher operations on Pythagorean fuzzy matrices and prove some desirable properties of these operations, such as commutativity, idempotancy and monotanicity. Further, we prove De Morgan’s laws for these operations over complement.