Approximative Reasoning and Fuzzy Queries with Linguistic Quantification in Prolog Databases
نویسنده
چکیده
– Approximate reasoning and fuzzy queries are efficient methods in retrieving information from large databases when precise attributes are unknown or the model itself is vague. We explore such types of reasoning based on the notions of the possibility theory. We suggest an approach towards a Prolog implementation of such queries which takes into account fuzzy linguistic quantification, aggregation of data and uncertainty of attributes through possibility measures. Key-Words: – Approximate reasoning, fuzzy logic, fuzzy queries, linguistic quantification, possibilities, Prolog.
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