Applying fuzzy sets and rough sets as metric for vagueness and uncertainty in information retrieval systems

Authors:
Nancy Mehta;Neera Bawa
Affiliations:
Lect. In CSE, JCDV college of Engineering;Lect. In CSE, JCDV college of Engineering
Venue:
ISTASC'08 Proceedings of the 8th conference on Systems theory and scientific computation
Year:
2008

Citing 8
Cited 0

Rough sets and fuzzy sets—some remarks on interrelations

Fuzzy Sets and Systems
A survey of conceptual and logical data models for uncertainty management

Fuzzy logic for the management of uncertainty
Further remarks on the relation between rough and fuzzy sets

Fuzzy Sets and Systems
Rough membership functions

Advances in the Dempster-Shafer theory of evidence
A machine learning approach in information retrieval

Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic assignment of soft Boolean operators

SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
A comparative study of fuzzy sets and rough sets

Information Sciences: an International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data

Rough Sets: Theoretical Aspects of Reasoning about Data

Quantified Score

Hi-index	0.00

Visualization

Abstract

The autonomous ordinary differential equation initial-value problems are traditionally solved numerically by using the Runge-Kutta methods. These methods perform multiple evaluations of the function. A few years ago, some new Runge-Kutta methods are ...