Information retrieval estimation via fuzzy probability
Date
2006
Authors
Huang, Ziheng
Gedeon, Tamas (Tom)
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Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
Fuzzy logic has been recognized as a useful approach for information retrieval. It helps identify partially matched documents for a given query so that ranking the relevant documents becomes straightforward. Unfortunately, research on fuzzy information retrieval only focuses on the estimation of relevancy of the retrieved documents, but lacks the estimation of imprecise probability of obtaining such relevant documents. This paper makes an attempt to the latter. It extends the fuzzy probability (FP) calculation method proposed by Huang and Shi to an enhanced FP calculation method, Furthermore, it proposes a novel FP calculation method. An example is provided to illustrate the use of fuzzy probability estimation.
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Keywords
Keywords: Information retrieval; Probability distributions; Query processing; Fuzzy probability; Fuzzy probability estimation; Probability possibility; Fuzzy logic Fuzzy logic; Fuzzy probability; Information retrieval; Possibility of probability
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Source
Proceedings of World Automation Conference 2006
Type
Conference paper
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2037-12-31
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