• DocumentCode
    2626530
  • Title

    The Effect of Fuzzy Logic on Database

  • Author

    Abadi, Mohammad Reza Dehghani Mahmoud ; Samavarchi, Hassan

  • Author_Institution
    Tehran Branch, Peyam Noor Univ., Tehran, Iran
  • Volume
    5
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    712
  • Lastpage
    717
  • Abstract
    For many years, achieving unambiguous knowledge has been turned to a serious challenge for human being. From Aristotlepsilas 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. Contingenciespsila 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 systempsilas 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.
  • Keywords
    database management systems; fuzzy logic; fuzzy set theory; fuzzy systems; data retrieval; database management system; expert support systems; fuzzy database modeling; fuzzy logic; fuzzy systems theory; knowledge base; Computer science; Control systems; Data engineering; Databases; Feedback; Fuzzy logic; Fuzzy sets; Fuzzy systems; Humans; Uncertainty; Database; Fuzzy logic; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.224
  • Filename
    5170626