Relationships between goals in multiple attribute decision making
Fuzzy Sets and Systems - Special issue on operations research
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Knowing what doesn't matter: exploiting the omission of irrelevant data
Artificial Intelligence - Special issue on relevance
Dynamic relevance: vision-based focus of attention using artificial neural networks
Artificial Intelligence - Special issue on relevance
An improved branch and bound algorithm for feature selection
Pattern Recognition Letters
A note on web intelligence, world knowledge and fuzzy logic
Data & Knowledge Engineering - Special jubilee issue: DKE 50
Examining the Authority and Ranking Effects as the result list depth used in data fusion is varied
Information Processing and Management: an International Journal
Detection and characterization of physiological states in bioprocesses based on Hölder exponent
Knowledge-Based Systems
Engineering Applications of Artificial Intelligence
Hi-index | 0.00 |
In this paper, we present an application of the belief function theory for the classification of physiological states in a bioprocess. It also takes account of the relevance of the data sources. The notion of conflict is used to evaluate the relevance of each data source. Another measure of conflict, based on a distance, is also used, and provides globally, better results than the classical notion of conflict used in the Dempster rule of fusion. Experimental results are presented for a bioprocess and show that, with the use of relevance, the results of classification are better.