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.

Downloads

Download data is not yet available.

Downloads

Published

2007-01-01

Issue

Vol. 47 No. 1 (2007)

Section

Articles

License

Authors who publish with this journal agree to the following terms:

1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

4. ddd

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