Shuren Zhu
Information Science School, Guangdong University of Finance and Economics, Guangzhou 510320, Guangdong China
ABSTRACT
Fuzzy matching algorithm of subscription is proposed in the optimization ideal here, it can increase the capability of system effectively that the algorithm filtrates unsuitability attributes to find the publish event quickly which matches the subscription basically. The foundation of the matching rules is discussed and designed, the structure principle of covering based filter and fuzzy matching based filter the structure of fuzzy vectors. The membership function of attributes and the threshold to judge whether the matching is success or not be defined. In order to support Web services based on quality of service, the broker mechanism for quality of service is introduced into the traditional Web service discovery model. On the basis of these, an algorithm about fuzzy matching is designed and experimental results were put forward.
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How to cite this article
Shuren Zhu, 2013. A Service Discover Fuzzy Matching Algorithm in Internet of Things. Journal of Applied Sciences, 13: 2579-2583.
DOI: 10.3923/jas.2013.2579.2583
URL: https://scialert.net/abstract/?doi=jas.2013.2579.2583
DOI: 10.3923/jas.2013.2579.2583
URL: https://scialert.net/abstract/?doi=jas.2013.2579.2583
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