Genetic learning of the membership functions for mining fuzzy association rules from low quality data

Author:

Palacios Ana María,Palacios José Luis,Sánchez Luciano,Alcalá-Fdez Jesús

Funder

Spanish Ministry of Science and Technology

Spanish Ministry of Economy and Competitiveness

Andalusian Government

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference44 articles.

1. A survey of uncertain data algorithms and applications;Aggarwal;IEEE Trans. Knowl. Data Eng.,2009

2. R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: International Conference on Very Large Data Bases, Santiago de Chile, 1994, pp. 487–499.

3. Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation;Alcalá;Soft Comput.,2007

4. A fast and scalable multi-objective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems;Alcalá;IEEE Trans. Fuzzy Syst.,2011

5. A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning;Alcalá-Fdez;IEEE Trans. Fuzzy Syst.,2011

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