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Fuzzification of Filters

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A Course in BE-algebras
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Abstract

It is well-known that an important task of the artificial intelligence is to make computer simulate human being in dealing with certainty and uncertainty in information. Logic gives a technique for laying the foundations of this task. Information processing dealing with certain information is based on the classical logic. Non-classical logic includes many valued logic and fuzzy logic which takes the advantage of the classical logic to handle information with various facets of uncertainty (Zadeh in Inform Sci, 172:1–40, 2005, [253]), such as fuzziness and randomness. Therefore, non-classical logic has become a formal and useful tool for computer science to deal with fuzzy information and uncertain information.

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Correspondence to Sambasiva Rao Mukkamala .

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Mukkamala, S.R. (2018). Fuzzification of Filters. In: A Course in BE-algebras. Springer, Singapore. https://doi.org/10.1007/978-981-10-6838-6_13

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