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Los Angeles, CA
March 31, 2009 to April 2, 2009
ISBN: 978-0-7695-3507-4
pp: 712-717
For many years, achieving unambiguous knowledge has been turned to a serious challenge for human being. From Aristotle’s introduction of two valued logic up to now, human being, through utilizing it, could achieve outstanding positions. Technology has grown up and still is getting more efficiency day by day. Contingencies’ phenomena were among phrases that may be seen thoroughly in all science fields especially where systems have got complication or the numbers of observations increased. However, whatever contingencies were to follow had a distinct difference than ambiguous situations existed in the systems. In spite of emergence of random phenomena, scientists still believed that the only way of a system’s increasing efficiency is to increase precision. One of the related areas is about application of fuzzy systems theory on database, data retrieval & expert support systems, and knowledge base. These three areas are similar in many directions; however, there are some differences. Yet, the most important issue that is being considered in fuzzy database is how to encounter with phenomenon of uncertainty. There are many courses of action for solving this problem; hence, in this study we propose the most important approaches and existed solutions for fuzzy database modeling.
Database, Uncertainty, Fuzzy logic
Mohammad Reza Dehghani Mahmoud Abadi, Hassan Samavarchi, "The Effect of Fuzzy Logic on Database", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 712-717, doi:10.1109/CSIE.2009.224
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