English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

These last years, there were many studies on the problem of the conflictcoming from information combination, especially in evidence theory. We cansummarise the solutions for manage the conflict into three differentapproaches: first, we can try to suppress or reduce the conflict before thecombination step, secondly, we can manage the conflict in order to give noinfluence of the conflict in the combination step, and then take into accountthe conflict in the decision step, thirdly, we can take into account theconflict in the combination step. The first approach is certainly the better,but not always feasible. It is difficult to say which approach is the bestbetween the second and the third. However, the most important is the producedresults in applications. We propose here a new combination rule thatdistributes the conflict proportionally on the element given this conflict. Wecompare these different combination rules on real data in Sonar imagery andRadar target classification.

Une nouvelle r\`egle de combinaison r\'epartissant le conflit - Applications en imagerie Sonar et classification de cibles Radar