Fuzzy Systems

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Fuzzy Logic Based Information Retrieval System


Affiliations
1 Department of Computer Science & Engineering, Dr. C.V. Raman University, Kota, Bilaspur-495113, India
2 Department of MCA, NIT, Raipur, India
3 Dept. of Computer Science & Engg., Dr. C.V. Raman University, Kota, Bilaspur-495113, India
     

   Subscribe/Renew Journal


The paper presents the basic idea involved in information retrieval using fuzzy set theory and fuzzy logic. It attempts to clarify the definition and some terms and discuss the possible sources of fuzziness within this sub-field. It also tries to prove that how this way retrieving information is more realistic and expressive than their crisp counterparts.

Keywords

Vagueness, Imprecision, Uncertainty, Fuzzy, Information Retrieval.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 233

PDF Views: 2




  • Fuzzy Logic Based Information Retrieval System

Abstract Views: 233  |  PDF Views: 2

Authors

S. R. Tandan
Department of Computer Science & Engineering, Dr. C.V. Raman University, Kota, Bilaspur-495113, India
Priyanka Tripathi
Department of MCA, NIT, Raipur, India
Rohit Miri
Dept. of Computer Science & Engg., Dr. C.V. Raman University, Kota, Bilaspur-495113, India

Abstract


The paper presents the basic idea involved in information retrieval using fuzzy set theory and fuzzy logic. It attempts to clarify the definition and some terms and discuss the possible sources of fuzziness within this sub-field. It also tries to prove that how this way retrieving information is more realistic and expressive than their crisp counterparts.

Keywords


Vagueness, Imprecision, Uncertainty, Fuzzy, Information Retrieval.