Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
The relationship between recall and precision
Journal of the American Society for Information Science
An extended fuzzy linguistic approach to generalize Boolean information retrieval
Information Sciences—Applications: An International Journal
Fuzzy information systems: managing uncertainty in databases and information retrieval systems
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
An algorithm for suffix stripping
Readings in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Hierarchical Document Retrieval Language
Information Retrieval
Experiments on using fuzzy quantified sentences in adhoc retrieval
Proceedings of the 2004 ACM symposium on Applied computing
Alternating cluster estimation: a new tool for clustering and function approximation
IEEE Transactions on Fuzzy Systems
Graded-Inclusion-Based Information Retrieval Systems
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Expert Systems with Applications: An International Journal
A subjective logic formalisation of the principle of polyrepresentation for information needs
Proceedings of the third symposium on Information interaction in context
Implication in information retrieval systems
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Hi-index | 12.05 |
Due to increase in web-based applications, the need for enhanced information retrieval system that accommodate user's needs become crucial. A wide range of commercial information retrieval systems are based on standard Boolean model and at less scale vector models. Although the deficiencies of these models are now part of text-book knowledge, the development of new models still have to overcome the feasibility and testing challenge. This paper advocates a fuzzy based approach for information retrieval where a new model is put forward. Also, its feasibility and performance are demonstrated through a testing with a large-scale university database and whose results are compared to a standard commercial Boolean model.