Fuzzy conformance checking of observed behaviour with expectations

Stefano Bragaglia, Federico Chesani, Paola Mello, Marco Montali, Davide Sottara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

In some different research fields a research issue has been to establish if the external, observed behaviour of an entity is conformant to some rules/specifications/expectations. Research areas like Multi Agent Systems, Business Process, and Legal/Normative systems, have proposed different characterizations of the same problem, named as the conformance problem. Most of the available systems, however, provide only simple yes/no answers to the conformance issue. In this paper we introduce the idea of a gradual conformance, expressed in fuzzy terms. To this end, we present a system based on a fuzzy extension of Drools, and exploit it to perform conformance tests. In particular, we consider two aspects: the first related to fuzzy ontological aspects, and the second about fuzzy time-related aspects. Moreover, we discuss how to conjugate the fuzzy contributions from these aspects to get a single, fuzzy score representing a conformance degree.

Original languageEnglish (US)
Title of host publicationAI*IA 2011
Subtitle of host publicationArtificial Intelligence Around Man and Beyond - XIIth International Conference of the Italian Association for Artificial Intelligence, Proceedings
Pages80-91
Number of pages12
DOIs
StatePublished - Sep 26 2011
Event12th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2011 - Palermo, Italy
Duration: Sep 15 2011Sep 17 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6934 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2011
CountryItaly
CityPalermo
Period9/15/119/17/11

Keywords

  • expectations
  • fuzzy conformance
  • production rule systems
  • time reasoning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Bragaglia, S., Chesani, F., Mello, P., Montali, M., & Sottara, D. (2011). Fuzzy conformance checking of observed behaviour with expectations. In AI*IA 2011: Artificial Intelligence Around Man and Beyond - XIIth International Conference of the Italian Association for Artificial Intelligence, Proceedings (pp. 80-91). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6934 LNAI). https://doi.org/10.1007/978-3-642-23954-0_10