Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets―
چکیده
Article history: Received 24 February 2014 Received in revised form 12 June 2014 Accepted 24 July 2014 Available online 1 August 2014
Article history: Received 24 February 2014 Received in revised form 12 June 2014 Accepted 24 July 2014 Available online 1 August 2014
This study proposes a method, designated as the GRP-index method, for the classification of continuous value datasets in which the instances do not provide any class information and may be imprecise and uncertain. The proposed method discretizes the values of the individual attri
The notion of a rough set was originally proposed by Pawlak [Z. Pawlak, Rough sets, International Journal of Computer and Information Sciences 11 (5) (1982) 341–356]. Later on, Dubois and Prade [D. Dubois, H. Prade, Rough fuzzy sets and fuzzy rough sets, International Journal of
The concept of the rough set was originally proposed by Pawlak as a formal tool for modelling and processing incomplete information in information systems, then in 1990, Dubois and Prade first introduced the rough fuzzy sets and fuzzy rough sets as a fuzzy extension of the rough
The objective of this chapter is to provide a semantic framework for fuzzy sets in the theory of rough sets. Rough membership functions are viewed as a special type of fuzzy membership functions interpretable using conditional probabilities. The relationships between fuzzy member
Data stream; Neuro fuzzy; Change of detection; Rough set theory; Holoentropy function Abstract Data stream classification plays a vital role in data mining techniques which extracts the most important patterns from the real world database. Nowadays, many applications like sensor
Rough Set theory, proposed by Pawlak in 1982, is a mathematical tool for classification and analysis of imprecise, uncertain, incomplete or vague information and knowledge. Using various concepts in RST, classification of objects in various classes is done by removing irrelevant