The X-μ Approach: In Theory and Practice

  • Daniel J. Lewis
  • Trevor P. Martin
Conference paper

DOI: 10.1007/978-3-319-08852-5_42

Part of the Communications in Computer and Information Science book series (CCIS, volume 444)
Cite this paper as:
Lewis D.J., Martin T.P. (2014) The X-μ Approach: In Theory and Practice. In: Laurent A., Strauss O., Bouchon-Meunier B., Yager R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 444. Springer, Cham

Abstract

Criticisms exist for fuzzy set theory which do not reside in classical (or “crisp”) set theory, some such issues exhibited by fuzzy set theory regard the law of excluded middle and law of contradiction. There are also additional complexities in fuzzy set theory for monotonicity, order and cardinality. Fuzzy set applications either avoid these issues, or use them to their advantage. The X-μ approach, however, attempts to solve some of these issues through analysis of inverse fuzzy membership functions. Through the inverse fuzzy membership function it is possible to computationally calculate classical set operations over an entire fuzzy membership. This paper firstly explores how the X-μ approach compares to both classical/crisp set theory and conventional fuzzy set theory, and explores how the problems regarding the laws of excluded middle and contradiction might be solved using X-μ. Finally the approach is implemented and applied to an area of big data over the world-wide-web, using movie ratings data.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Daniel J. Lewis
    • 1
  • Trevor P. Martin
    • 1
  1. 1.Intelligent Systems LaboratoryUniversity of BristolBristolUnited Kingdom

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