11 search results - page 1 / 3 » Generating and Applying Rules for Interval Valued Fuzzy Obse... |
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
IFIP12
2008
13 years 6 months ago
2008
This paper presents an approach for mining fuzzy Association Rules (ARs) relating the properties of composite items, i.e. items that each feature a number of values derived from a ...
GRC
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract—Many experiments have shown that interval type2 (IT2) fuzzy PI controllers are generally more robust than their type-1 (T1) counterparts, as they are better able to cope...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
APIN
2006
13 years 4 months ago
2006
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...