Authors:
João Antunes
;
André Vasconcelos
and
José Tribolet
Affiliation:
Technical University of Lisbon, Portugal
Keyword(s):
Fuzzy logic, Quality of service models, Complex information systems, CEO framework.
Related
Ontology
Subjects/Areas/Topics:
Approximate Reasoning and Fuzzy Inference
;
Artificial Intelligence
;
Computational Intelligence
;
Fuzzy Systems
;
Fuzzy Systems Design, Modeling and Control
;
Soft Computing
;
Soft Computing and Intelligent Agents
Abstract:
The continuous monitoring of information systems’ quality of service increases importance as business becomes more and more dependent of those systems. In order to obtain that view, quality models need to be defined for those systems. Because of its complexity and today modelling frameworks, quality models tend to result in a poor representation of reality, mainly because of their lack of ability to represent uncertainty. In this work, we investigate the use of fuzzy logic’s properties to create a new kind of quality of service models, which handles uncertainty and imprecision naturally. The objective is to obtain models that are a better representation of reality and easier to create and understand. This article presents the investigation on related topics to support the identified problem and motivations, followed by a solution proposal and a validation scenario.