Results 271 to 280 of about 710,199 (328)

Co-isolation of genetically distinct Burkholderia pseudomallei strains from a single patient in North Queensland. [PDF]

PLoS One
Coulon PML, Chowdhury PR, Gassiep I, Ramsay K, Lee A, Ritmejeryte E, Pitt ME, To J, Reed S, Harris PNA, Myers GSA.   +10 more
europepmc   +1 more source

From CBC to clarity: Interpretable detection of beta-thalassemia carriers in imbalanced datasets. [PDF]

PLoS One
Chishti S, Nosheen F, Fatima J, Sultan N, Khalid M.   +4 more
europepmc   +1 more source

An intelligent multi-attribute decision-making system for clinical assessment of spinal cord disorder using fuzzy hypersoft rough approximations. [PDF]

BMC Med Inform Decis Mak
Abdullah M, Khan KA, Rahman AU.
europepmc   +1 more source

Classification of possible solutions regarding business engineering problems by using complex Pythagorean fuzzy rough WASPAS approach. [PDF]

Sci Rep
Mahmood T, Emam W, Ahmmad J, Iftikhar M, Rehman UU, Pamucar D.   +5 more
europepmc   +1 more source

A novel algorithmic multi-attribute decision-making framework for the evaluation of energy systems using rough approximations of hypersoft sets. [PDF]

Heliyon
Abdullah M, Ali Khan K, Frnda J, Ur Rahman A.   +3 more
europepmc   +1 more source

A first-order, four valued, weakly paraconsistent logic and its relation to rough sets semantics

, 2002
Alexis Tsoukiàs
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ROUGH FUZZY SETS AND FUZZY ROUGH SETS*

International Journal of General Systems, 1990
The notion of a rough set introduced by Pawlak has often been compared to that of a fuzzy set, sometimes with a view to prove that one is more general, or, more useful than the other. In this paper we argue that both notions aim to different purposes.
Dubois, Didier, Prade, Henri
openaire   +2 more sources

A kind of new rough set: Rough soft sets and rough soft rings

Journal of Intelligent & Fuzzy Systems, 2015
The aim of this paper is to lay a foundation for providing a rough soft tool in considering many problems that contain uncertainties. We put forward the concepts of rough soft rings and rough idealistic soft rings. Some basic operations on rough soft rings are discussed. Some good examples are explored.
Zhan, Jianming, Davvaz, Bijan
openaire   +2 more sources

Rough sets

Communications of the ACM, 1995
Rough set theory, introduced by Zdzislaw Pawlak in the early 1980s [11, 12], is a new mathematical tool to deal with vagueness and uncertainty. This approach seems to be of fundamental importance to artificial intelligence (AI) and cognitive sciences, especially in the areas of machine learning, knowledge acquisition, decision analysis, knowledge ...
Pawlak, Zdzisław, Grzymała-Busse, Jerzy W., Słowiński, Roman, Ziarko, Wojciech   +3 more
openaire   +2 more sources

Probabilistic Rough Sets

2015
As quantitative generalizations of Pawlak rough sets, probabilistic rough sets consider degrees of overlap between equivalence classes and the set. An equivalence class is put into the lower approximation if the conditional probability of the set, given the equivalence class, is equal to or above one threshold; an equivalence class is put into the ...
Yao, Yiyu, Greco, Salvatore, Słowiński, Roman   +2 more
openaire   +1 more source