Rough sets on fuzzy approximation spaces and applications to distributed knowledge systems

2008 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
D.P. Acharjya ◽  
B.K. Tripathy
Keyword(s):  
Rough Sets ◽  
Knowledge Systems ◽  
Distributed Knowledge ◽  
Approximation Spaces ◽  
Fuzzy Approximation ◽  
Distributed Knowledge Systems

scholarly journals ВИКОРИСТАННЯ ПРИНЦИПІВ МЕДИЧНОЇ ОНТОЛОГІЇ ДЛЯ ПОБУДОВИ СЦЕНАРНИХ МОДЕЛЕЙ ПІСЛЯДИПЛОМНОГО НАВЧАННЯ ЛІКАРІВ І ПРОВІЗОРІВ

2013 ◽  
Author(s):  
О. Z. Mintser ◽  
О. Ye. Stryzhak ◽  
S. V. Denysenko
Keyword(s):  
Graduate Training ◽  
Knowledge Systems ◽  
Network Systems ◽  
Distributed Knowledge ◽  
Post Graduate ◽  
Post Graduate Training ◽  
Network Technologies ◽  
Distributed Knowledge Systems

<p class="a0">Approaches, facilities and technologies of forming of the personalized electronic grounds of management in the educational- informative environment knowledge are described. The ontological aspects of model scenario construction in doctor’s education post-graduate training accompaniment are considered with the use of the network systems of knowledge. It supposes the decision of increasing of efficiency medical educating of doctors on application of modern network technologies of the distance access to t h e distributed knowledge systems.</p>

scholarly journals On Fuzzy Rough Sets and Their Topological Structures

2014 ◽  
Vol 2014 ◽  
pp. 1-17 ◽  
Author(s):  
Weidong Tang ◽  
Jinzhao Wu ◽  
Dingwei Zheng
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Sets ◽  
Rough Set Theory ◽  
Fuzzy Relations ◽  
Fuzzy Rough Sets ◽  
Approximation Spaces ◽  
Topological Structures ◽  
Fuzzy Approximation ◽  
Approximation Operators

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.

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