Fuzzy association rule

Fuzzy rule-based classification systems have been applied to cope with these problems, mostly together with sampling techniques. In this paper, we define a new fuzzy association rule-based classifier, named FARCI, to tackle directly imbalanced classification problems.

15p guernsey 28-12-2021 13 0   Download

The objective of the thesis: Mining association rules with time-interval between events in temporal quantitative databases called fuzzy time-interval association rules; mining sequential patterns with time-interval between events in temporal quantitative sequential databases called fuzzy sequential patterns with fuzzy time intervals; mining common sequential rules with time-interval between events in temporal quantitative sequential databases called fuzzy common sequential rules with fuzzy time intervals.

27p beloveinhouse01 15-08-2021 10 4   Download

Study methods of semantically expressing fuzzy concepts based the MF or other mathematical methods providing that they express the semantics of the most suitable concepts; studying methods of knowledge exploitation in general and fuzzy rules in particular; sesearch different data representations of information so that it can be exploited in ARs in a diverse and meaningful way.

26p capheviahe26 25-01-2021 17 4   Download

This paper presents methods of dividing quantitative attributes into fuzzy domains with multi-granularity representation of data based on hedge algebra approach. According to this approach, more information is expressed from general to specific knowledge by explored association rules.

13p viconandoyle2711 29-08-2019 23 3   Download

This paper presents methods of dividing quantitative attributes into fuzzy domains with multi-granularity representation of data based on hedge algebra approach. According to this approach, more information is expressed from general to specific knowledge by explored association rules. As a result, this method brings a better response than the one using usual single-granularity representation of data. Furthermore, it meets the demand of the authors as the number of exploring rules is higher.

13p thuyliebe 05-10-2018 32 1   Download

In this paper, the author proposed a new method to construct the membership functions (MFs) based on database. The theory of hedge algrebra was used to build the membership functions and GA is applied to optimize them. The experimental results demonstrate the benefits of this method.

16p thuyliebe 04-10-2018 25 0   Download

This paper presents a new proposal model of predictor using FAR to elevating prediction performance and avoids extraction of the fixed set of FAR before prediction progress. Indeed, a modification tree structure of a FP-growth tree is used in fuzzy frequent itemset mining, when a new requirement raised, the proposed algorithm mines directly in the tree structure for the best prediction result.

10p jangni 13-04-2018 28 2   Download

This paper proposes a method for mining fuzzy association rules using compressed database. We also use the approach of Hedge Algebra (HA) to build the membership function for attributes instead of using the normal way of fuzzy set theory. This approach allows us to explore fuzzy association rules through a relatively simple algorithm which is faster in terms of time, but it still brings association rules which are as good as the classical algorithms for mining association rules.

12p dieutringuyen 07-06-2017 38 2   Download

Artificial Intelligence (AI) is often referred to as a branch of science which deals with helping machines find solutions to complex problems in a more human-like fashion. It is generally associated with Computer Science, but it has many important links with other fields such as Maths, Psychology, Cognition, Biology and Philosophy. The AI success is due to its technology has diffused into everyday life. Neural networks, fuzzy controls, decision trees and rule-based systems are already in our mobile phones, washing machines and business applications....

498p bi_bi1 11-07-2012 117 30   Download