• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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An EFASIT model considering the emotion criteria in Knowledge Monitoring System


Kyung-Hyun Ryu, Su-Young Pi, Journal of Internet Computing and Services, Vol. 12, No. 4, pp. 107-118, Aug. 2011
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Keywords: Fuzzy Analytic hierarchy process, similarity relation, data fusion, Knowledge Monitoring system

Abstract

The appearance of Web has brought an substantial revolution to all fields of society such knowledge management and business transaction as well as traditional information retrieval. In this paper, we propose an EFASIT(Extended Fuzzy AHP and SImilarity Technology) model considering the emotion analysis. And we combine the Extended Fuzzy AHP Method(EFAM) with SImilarity Technology(SIT) based on the domain corpus information in order to efficiently retrieve the document on the Web. The proposed the EFASIT model can generate the more definite rule according to integration of fuzzy knowledge of various decision-maker, and can give a help to decision-making, and confirms through the experiment.


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Cite this article
[APA Style]
Ryu, K. & Pi, S. (2011). An EFASIT model considering the emotion criteria in Knowledge Monitoring System. Journal of Internet Computing and Services, 12(4), 107-118.

[IEEE Style]
K. Ryu and S. Pi, "An EFASIT model considering the emotion criteria in Knowledge Monitoring System," Journal of Internet Computing and Services, vol. 12, no. 4, pp. 107-118, 2011.

[ACM Style]
Kyung-Hyun Ryu and Su-Young Pi. 2011. An EFASIT model considering the emotion criteria in Knowledge Monitoring System. Journal of Internet Computing and Services, 12, 4, (2011), 107-118.