A fuzzy knowledge-based system for intelligent retrieval

Authors:
M. Koyuncu;A. Yazici
Affiliations:
-;-
Venue:
IEEE Transactions on Fuzzy Systems
Year:
2005

Citing 0
Cited 6

Data management research at the Middle East Technical University

ACM SIGMOD Record
An intelligent fuzzy object-oriented database framework for video database applications

Fuzzy Sets and Systems
Fuzzy Querying in Intelligent Information Systems

FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Recent Literature

Fuzzy Sets and Systems
Intelligent task planning and action selection of a mobile robot in a multi-agent system through a fuzzy neural network approach

Engineering Applications of Artificial Intelligence
Fuzzy compositional modeling

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

For many knowledge-intensive applications, it is important to develop an environment that permits flexible modeling and fuzzy querying of complex data and knowledge including uncertainty. With such an environment, one can have intelligent retrieval of information and knowledge, which has become a critical requirement for those applications. In this paper, we introduce a fuzzy knowledge-based (FKB) system along with the model and the inference mechanism. The inference mechanism is based on the extension of the Rete algorithm to handle fuzziness using a similarity-based approach. The proposed FKB system is used in the intelligent fuzzy object-oriented database (IFOOD) environment, in which a fuzzy object-oriented database is used to handle large scale of complex data while the FKB system is used to handle knowledge of the application domain. Both the fuzzy object-oriented database system and the fuzzy knowledge-based system are based on the object-oriented concepts to eliminate data type mismatches. The aim of this paper is mainly to introduce the FKB system of the IFOOD environment.