scholarly journals Erratum to: Representation of Nelson algebras by rough sets determined by quasiorders

2011 ◽  
Vol 66 (1-2) ◽  
pp. 181-181 ◽  
Author(s):  
Jouni Järvinen ◽  
Sándor Radeleczki
Keyword(s):  
Studia Logica ◽  
2012 ◽  
Vol 101 (5) ◽  
pp. 1073-1092 ◽  
Author(s):  
Jouni Järvinen ◽  
Piero Pagliani ◽  
Sándor Radeleczki
Keyword(s):  

1996 ◽  
Vol 27 (2,3) ◽  
pp. 205-219 ◽  
Author(s):  
Piero Pagliani
Keyword(s):  

2015 ◽  
Vol 23 (2) ◽  
pp. 115-125
Author(s):  
Adam Grabowski

Nelson algebras were first studied by Rasiowa and Białynicki- Birula [1] under the name N-lattices or quasi-pseudo-Boolean algebras. Later, in investigations by Monteiro and Brignole [3, 4], and [2] the name “Nelson algebras” was adopted - which is now commonly used to show the correspondence with Nelson’s paper [14] on constructive logic with strong negation. By a Nelson algebra we mean an abstract algebra 〈L, T, -, ¬, →, ⇒, ⊔, ⊓〉 where L is the carrier, − is a quasi-complementation (Rasiowa used the sign ~, but in Mizar “−” should be used to follow the approach described in [12] and [10]), ¬ is a weak pseudo-complementation → is weak relative pseudocomplementation and ⇒ is implicative operation. ⊔ and ⊓ are ordinary lattice binary operations of supremum and infimum. In this article we give the definition and basic properties of these algebras according to [16] and [15]. We start with preliminary section on quasi-Boolean algebras (i.e. de Morgan bounded lattices). Later we give the axioms in the form of Mizar adjectives with names corresponding with those in [15]. As our main result we give two axiomatizations (non-equational and equational) and the full formal proof of their equivalence. The second set of equations is rather long but it shows the logical essence of Nelson lattices. This formalization aims at the construction of algebraic model of rough sets [9] in our future submissions. Section 4 contains all items from Th. 1.2 and 1.3 (and the itemization is given in the text). In the fifth section we provide full formal proof of Th. 2.1 p. 75 [16].


2014 ◽  
Vol 131 (2) ◽  
pp. 205-215 ◽  
Author(s):  
Jouni Järvinen ◽  
Sándor Radeleczki
Keyword(s):  

2011 ◽  
Vol 66 (1-2) ◽  
pp. 163-179 ◽  
Author(s):  
Jouni Järvinen ◽  
Sándor Radeleczki
Keyword(s):  

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.


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