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EnglishIn 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.
| Titolo: | Fuzzy Conformance Checking of Observed Behaviour with Expectations |
| Autore/i: | BRAGAGLIA, STEFANO; CHESANI, FEDERICO; MELLO, PAOLA; MONTALI, MARCO; SOTTARA, DAVIDE |
| Autore/i Unibo: | |
| Anno: | 2011 |
| Serie: | |
| Titolo del libro: | AI*IA 2011: Artificial Intelligence Around Man and Beyond |
| Pagina iniziale: | 80 |
| Pagina finale: | 91 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-642-23954-0_10 |
| 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. |
| Data prodotto definitivo in UGOV: | 24-giu-2013 |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11585/112392
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