Fuzzy methods for automated intelligent data analysis

• Published in: 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542) Vol. 1; pp. 487 - 492 vol.1
• Main Authors: Nauck, D.D., Spott, M., Azvine, B.
• Format: Conference Proceeding
• Language: English
• Published: Piscataway NJ IEEE 2004
• Subjects: Applied sciences; Appropriate technology; Artificial intelligence; Automatic control; Computer networks; Computer science; control theory; systems; Data analysis; Decision trees; Exact sciences and technology; Fuzzy control; Fuzzy systems; Learning and adaptive systems; Machine learning; Manufacturing industries; Neural networks; Type theory; Data type; Data analysis; Fuzzy system; Statistical analysis; Knowledge base; Soft computing; Neural network; Decision tree; Statistical data; Fuzzy logic; Fuzzy control; User requirement; Incomplete information; Artificial intelligence; Computing method; User need; Industrial technology
• ISBN: 9780780383531; 0780383532
• ISSN: 1098-7584
• DOI: 10.1109/FUZZY.2004.1375779

Although fuzzy data analysis has increased in popularity within the research community, this technology is rarely found in industrial solutions. In contrast to fuzzy controllers that were rapidly picked up in the 1990's this has so far not happened for fuzzy data analysis or fuzzy knowledge-based approaches. We believe this is mainly due to not enough easy to use software being available. Software manufactures in the area of data analysis concentrate on statistical approaches and well-known machine learning approaches like decision trees. Typically, neural networks are the only soft computing technique that is sometimes provided. In order to push fuzzy systems and related technology into industrial data analysis applications we need to provide appropriate software. We have developed an IDA platform that automates the data analysis process to a large extent. It uses fuzzy knowledge bases to match user requirements to features of analysis methods and to select, configure and execute IDA processes automatically. Although the platform can use any type of data analysis method we have focused on soft computing methods.