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Fuzzy Association Rules

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  • 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.

    pdf12p dieutringuyen 07-06-2017 30 2   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.

    pdf10p jangni 13-04-2018 15 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.

    pdf16p thuyliebe 04-10-2018 11 0   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.

    pdf13p thuyliebe 05-10-2018 16 0   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....

    pdf498p bi_bi1 11-07-2012 89 28   Download

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