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Fuzzy Orderings for Fuzzy Gradual Patterns

Abstract : In mining gradual patterns the idea is to express co-variations of attributes, taking the direction of change of attribute values into account. These patterns are such as {the more A, the more B}, {the more A, the more B, the less C} or {the higher the speed, the higher the danger }. These patterns are denoted as {A≥B≥ }, { A≥B≥C≤}or { speed≥danger≥} respectively. Such patterns hold if the variation constraints simultaneously hold on the attributes. However, it is often hardly possible to compare attribute values, either because the values are taken from noisy data, or because it is difficult to consider that a small difference between two values is meaningful. In this context, we focus on the use of fuzzy orderings to take this into account abstract environment.
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Contributor : Perfecto Malaquias Quintero Flores <>
Submitted on : Thursday, March 21, 2019 - 9:07:17 PM
Last modification on : Thursday, June 3, 2021 - 3:32:11 PM
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  • HAL Id : lirmm-00608361, version 1



Perfecto Malaquias Quintero Flores, Anne Laurent, Pascal Poncelet. Fuzzy Orderings for Fuzzy Gradual Patterns. FQAS: Flexible Query Answering Systems, Oct 2011, Ghent, Belgium. pp.001-012. ⟨lirmm-00608361⟩



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