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» A new extension of fuzzy sets using rough sets: R-fuzzy sets
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JCIT
2007
107views more  JCIT 2007»
13 years 7 months ago
A New Approach to Computing Weighted Attributes Values in Incomplete Information Systems
The Rough Sets theory has been conceived to deal with inexact, uncertain or vague knowledge in Information systems. The article is devoted to propose notions including the general...
Tian Hong, Wang Xiukun, Henryk Rybinski
ADC
2003
Springer
182views Database» more  ADC 2003»
14 years 20 days ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
EOR
2008
99views more  EOR 2008»
13 years 7 months ago
Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
We present a new method, called UTAGMS , for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. ...
Salvatore Greco, Vincent Mousseau, Roman Slowinski
WILF
2005
Springer
124views Fuzzy Logic» more  WILF 2005»
14 years 27 days ago
Possibilistic Planning Using Description Logics: A First Step
Abstract. This paper is a first step in the direction of extending possibilistic planning to take advantage of the expressive power and reasoning capabilities of fuzzy description...
Célia da Costa Pereira, Andrea Tettamanzi
AMC
2008
87views more  AMC 2008»
13 years 7 months ago
Mining classification rules with Reduced MEPAR-miner Algorithm
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...
Emel Kizilkaya Aydogan, Cevriye Gencer