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In 1996, Zadeh coined Computing With Words (CWWs) to be a methodology in which words are used instead of numbers for computing and reasoning. One of the main challenges which faced the CWWs paradigm has been modelling words adequately. Mendel has pointed out that the CWWs paradigm should employ type-2 fuzzy logic to model words. This paper proposes employing an Enhanced Interval Approach (EIA) to...
Classical ontology is not sufficient to deal with vague or imprecise knowledge for real world applications such as malware behavioral analysis. In addition, malware has grown into a pressing problem for governments and commercial organizations. Anti-malware applications represent one of the most important research topics in the area of information security threat. As a countermeasure, enhanced systems...
The concept of Computing With Words (CWW) was coined by Zadeh to be a methodology in which words are used instead of numbers for computing and reasoning. Since then, there have been various angles to interpret CWW. However, there is a need to tackle the problem of modeling a ‘word’ by fuzzy sets, which is one of the building blocks of the CWW concept. In this paper, we investigate the ‘word’ from...
This paper addresses the problem of learning human behavior models from sensor information in a smart home environment. Any smart home is provided with many devices that can determine the state of the environment at any moment, as well as the user interaction with the environment. This information is used by our approach to learn a flexible and reliable human behavior representation, extracting the...
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