scholarly journals Topological structures of L -fuzzy rough sets and similarity sets of L -fuzzy relations

2017 ◽  
Vol 83 ◽  
pp. 160-175 ◽  
Author(s):  
Chun Yong Wang
2014 ◽  
Vol 2014 ◽  
pp. 1-17 ◽  
Author(s):  
Weidong Tang ◽  
Jinzhao Wu ◽  
Dingwei Zheng

The core concepts of rough set theory are information systems and approximation operators of approximation spaces. Approximation operators draw close links between rough set theory and topology. This paper is devoted to the discussion of fuzzy rough sets and their topological structures. Fuzzy rough approximations are further investigated. Fuzzy relations are researched by means of topology or lower and upper sets. Topological structures of fuzzy approximation spaces are given by means of pseudoconstant fuzzy relations. Fuzzy topology satisfying (CC) axiom is investigated. The fact that there exists a one-to-one correspondence between the set of all preorder fuzzy relations and the set of all fuzzy topologies satisfying (CC) axiom is proved, the concept of fuzzy approximating spaces is introduced, and decision conditions that a fuzzy topological space is a fuzzy approximating space are obtained, which illustrates that we can research fuzzy relations or fuzzy approximation spaces by means of topology and vice versa. Moreover, fuzzy pseudoclosure operators are examined.


Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 362 ◽  
Author(s):  
Bibin Mathew ◽  
Sunil Jacob John ◽  
José Carlos R. Alcantud

We lay the theoretical foundations of a novel model, termed picture hesitant fuzzy rough sets, based on picture hesitant fuzzy relations. We also combine this notion with the ideas of multi-granulation rough sets. As a consequence, a new multi-granulation rough set model on two universes, termed a multi-granulation picture hesitant fuzzy rough set, is developed. When the universes coincide or play a symmetric role, the concept assumes the standard format. In this context, we put forward two new classes of multi-granulation picture hesitant fuzzy rough sets, namely, the optimistic and pessimistic multi-granulation picture hesitant fuzzy rough sets. Further, we also investigate the relationships among these two concepts and picture hesitant fuzzy rough sets.


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

2015 ◽  
Vol 29 (5) ◽  
pp. 1901-1912 ◽  
Author(s):  
Manish Aggarwal
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document