A Fuzzy Logic Based Approach to Linguistic Summaries of Databases

• Autorzy: Kacprzyk J. , Yager R. R. , Zadrożny S.
• Języki publikacji: EN

Abstrakty

EN

In this paper, we present basic ideas and perspectives related to the use of fuzzy logic for the derivation of linguistic summaries of data (databases). We concentrate on the issue of how to measure the goodness of a linguistic summary, and on how to embed data summarization within the fuzzy querying environment, for an effective and efficient implementation. In particular, we propose how to efficiently implement Kacprzyk and Yager's (2000) new quality indicators of linguistic summaries to derive summaries via Kacprzyk and Zadrozny's (1994; 1995a; 1995b; 1996) fuzzy querying add-on. Finally, we present an implementation for deriving linguistic summaries of a sales database at a computer retailer, and show how the linguistic summaries obtained can be useful for supporting decisions of the business owner.

Słowa kluczowe

EN

fuzzy logic; linguistic summary; computing with words; data mining; fuzzy querying

PL

logika rozmyta; baza danych; podsumowanie lingwistyczne; zgłębianie danych

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2000
• Tom: Vol. 10, no 4
• Strony: 813--834
• Opis fizyczny: Bibliogr. 45 poz., rys., tab., wykr.

Twórcy

autor

Kacprzyk J.

autor

Yager R. R.

autor

Zadrożny S.

• Polish Academy of Sciences, Systems Research Institute ul. Newelska 6, 01-447 Warsaw, Poland,