A FUZZY SEMANTIC INFORMATION RETRIEVAL SYSTEM FOR TRANSACTIONAL APPLICATIONS
dc.contributor.author | Ajayi, A.O. | |
dc.contributor.author | Soriyan, H.A. | |
dc.contributor.author | Aderounmu, G.A. | |
dc.date.accessioned | 2020-01-15T10:24:01Z | |
dc.date.available | 2020-01-15T10:24:01Z | |
dc.date.issued | 2009-10 | |
dc.description | volume8 ,24 P 242 | en_US |
dc.description.abstract | In this paper, we present an information retrieval system based on the concept of fuzzy logic to relate vague and uncertain objects with un-sharp boundaries. The simple but comprehensive user interface of the system permits the entering of uncertain specifications in query forms. The system was modelled and simulated in a Matlab environment; its implementation was carried out using Borland C++ Builder. The result of the performance measure of the system using precision and recall rates is encouraging. Similarly, the smaller amount of more precise information retrieved by the system will positively impact the response time perceived by the users | en_US |
dc.identifier.uri | https://ir.oauife.edu.ng/handle/123456789/5039 | |
dc.language.iso | en | en_US |
dc.publisher | Data Science Journal | en_US |
dc.subject | Fuzzy set | en_US |
dc.subject | Query | en_US |
dc.subject | information | en_US |
dc.subject | Fuzzy Inference Engine | en_US |
dc.subject | Response time | en_US |
dc.title | A FUZZY SEMANTIC INFORMATION RETRIEVAL SYSTEM FOR TRANSACTIONAL APPLICATIONS | en_US |
dc.type | Journal | en_US |
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