Fuzzy Concepts in the Detection of Unexpected Situations

Authors

  • J. Bíla
  • J. Jura

DOI:

https://doi.org/10.14311/902

Keywords:

unexpected situations, model of system of situations, model of system of faults, invariants, fuzzy variables, degree of unexpectedness, emergence zone, association rules, Hasse Diagram.

Abstract

This paper establishes three essential classes of unexpected situations (UX1, UX2, UX3), and concentrates attention on UX3 detection. The
concepts of a special Model of System of Situations (MSS) and a Model of a System of Faults (MSF) are introduced. An original method is
proposed for detecting unexpected situations indicating a violation of a proper invariant of MSS (MSF). The presented approach offers a
promising application for starting and ending phases of complex processes, for knowledge discoveries on data and knowledge bases
developed with incomplete experience, and for modeling communication processes with unknown (disguised) communication subjects. The
paper also presents a way to utilize ill-separable situations for UX3 detection. The paper deals with the conceptual background for detecting
UX3 situations, recapitulates recent results in this field and opens the ways for further research.

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Published

2007-01-01

How to Cite

Bíla, J., & Jura, J. (2007). Fuzzy Concepts in the Detection of Unexpected Situations. Acta Polytechnica, 47(1). https://doi.org/10.14311/902

Issue

Section

Articles