Abstract: An adaptive algorithm is proposed in this work for teaming the user profile based on his initial profile and on queries' interpretation using ...
Filtering via Fuzzy Hierarchical Induction*. Rafal A. Angryk. Electrical Engineering and Computer Science. Department. Tulane University. New Orleans, LA,.
In this paper we investigate the role of the user profile in information filtering and we introduce a novel algorithm for learning the user profile based on ...
Nov 19, 2018 · This paper examines big data as both an enabler and a challenge for the connected manufacturing enterprise and presents a framework that sequentially tests and ...
Information filtering via fuzzy hierarchical induction. C Barbu, RA Angryk, FE Petry, M Simina. 2004 IEEE International Conference on Systems, Man and ...
An entire model hierarchy can be obtained by a multi- stage fuzzy rule induction process based on the two-stage procedure described above. This hierarchical ...
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This paper presents a risk prediction and assessment mechanism using Kalman filter and hierarchical fuzzy ... Noise and error from input data is removed using ...
In this chapter we present a unified framework that combines fuzzy rule induction and inference with textual information retrieval using user profiles.
The hierarchical clustering technique splits the data set into leaf clusters using splitting attributes based on a division-degree matrix and fuzzy rules. The ...
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Sep 8, 2023 · This research proposes enhanced fuzzy induction models for software requirement risk prediction. Specifically, the fuzzy unordered rule induction algorithm ( ...