05949518

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05949518 Bragaglia, Stefano Chesani, Federico Mello, Paola Montali, Marco Sottara, Davide Fuzzy conformance checking of observed behaviour with expectations. Pirrone, Roberto (ed.) et al., AI*IA 2011: Artificial intelligence around man and beyond. XIIth international conference of the Italian association for artificial intelligence, Palermo, Italy, September 15--17, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23953-3/pbk). Lecture Notes in Computer Science 6934. Lecture Notes in Artificial Intelligence, 80-91 (2011). 2011 Berlin: Springer EN fuzzy conformance production rule systems expectations time reasoning

doi:10.1007/978-3-642-23954-0_10

Summary: 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.