Abstract | ||
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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. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-23954-0_10 | AI*IA |
Keywords | Field | DocType |
conformance degree,fuzzy time-related aspect,fuzzy contribution,fuzzy score,fuzzy ontological aspect,conformance test,fuzzy term,fuzzy conformance checking,conformance issue,observed behaviour,fuzzy extension,conformance problem | Ontology,Normative systems,Business process,Computer science,Fuzzy logic,Multi-agent system,Exploit,Artificial intelligence,Conformance checking,Type-2 fuzzy sets and systems | Conference |
Volume | ISSN | Citations |
6934 | 0302-9743 | 4 |
PageRank | References | Authors |
0.41 | 17 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stefano Bragaglia | 1 | 59 | 5.50 |
federico chesani | 2 | 801 | 46.41 |
Paola Mello | 3 | 444 | 21.33 |
Marco Montali | 4 | 1280 | 99.36 |
Davide Sottara | 5 | 72 | 14.68 |