Axiomatic characterizations of L-valued rough sets using a single axiom

2021 ◽  
Vol 580 ◽  
pp. 283-310
Author(s):  
Xiaowei Wei ◽  
Bin Pang ◽  
Ju-Sheng Mi
Author(s):  
Hongying Zhang ◽  
Haijuan Song

The axiomatic approach is more appropriate than constructive approach for studying the algebraic structure of rough sets. In this paper, the more simple axiomatic characterizations of (υ σ)-fuzzy rough approximation operators are explored where υ is a residuated implicator and σis its dual implicator. Firstly, we review the existing independent axiomatic sets to characterize various types of υ-lower and σ-upper fuzzy rough approximation operators. Secondly, we present one-axiom characterizations of (υ σ)-fuzzy rough approximation operators constructed by a serial fuzzy relation on two universes. Furthermore, we show that (υ σ)-fuzzy rough approximation operators, corresponding to reexive, symmetric and T-transitive fuzzy relations, can be presented by only two axioms respectively. We conclude the paper by introducing some potential applications and future works.


1999 ◽  
Vol 04 (01) ◽  
Author(s):  
C. Zopounidis ◽  
M. Doumpos ◽  
R. Slowinski ◽  
R. Susmaga ◽  
A. I. Dimitras

2012 ◽  
Vol 23 (7) ◽  
pp. 1745-1759 ◽  
Author(s):  
Qing-Hua ZHANG ◽  
Guo-Yin WANG ◽  
Yu XIAO
Keyword(s):  

Author(s):  
S. Arjun Raj ◽  
M. Vigneshwaran

In this article we use the rough set theory to generate the set of decision concepts in order to solve a medical problem.Based on officially published data by International Diabetes Federation (IDF), rough sets have been used to diagnose Diabetes.The lower and upper approximations of decision concepts and their boundary regions have been formulated here.


2016 ◽  
Author(s):  
Renato C. Vieira ◽  
Marcelo B. Tenório ◽  
Mauro Roisenberg ◽  
Paulo S. S. Borges
Keyword(s):  

Filomat ◽  
2017 ◽  
Vol 31 (13) ◽  
pp. 4153-4166
Author(s):  
Canan Ekiz ◽  
Muhammad Ali ◽  
Sultan Yamak

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