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A LINGUISTIC VARIABLE FOR IMPORTANCE OF FUZZY SETS

Journal of Cybernetics, 1980
In this paper we introduce the concept of a linguistic variable for importance. This is done by defining its linguistic values as fuzzy subsets over the set of nonnegative numbers. Furthermore, we show how to modify a fuzzy subset by its importance. That is, if A is a fuzzy subset of X, and / is its importance, then A becomes AI which is also a fuzzy ...
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Variable importance by partitioningR 2

Quality & Quantity, 1995
One purpose of many regression studies is to compare the relative importance of the independent variables. Several different measures have been used to measure importance:t-values, standardized regression coefficients, elasticity, commonality analysis, increment inR2, correlation coefficients, hierarchical partitioning etc.
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Variable Importance

2020
Robin Genuer, Jean-Michel Poggi
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Variable-importance Measures

2021
Przemyslaw Biecek, Tomasz Burzykowski
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A Test for Variable Importance

2018
Statistical literature is being more and more concerned with debates about hypothesis testing and p-values supporting the significance of a given variable specification. Specifically, if on one hand statistical foundations about significance are not arguable, scholars should be able to distinguish between significance and variable importance. This is a
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Quantifying Important Variables

Pediatric Nursing, 2022
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A review and assessment of importance sampling methods for reliability analysis

Structural Safety, 2022
Armin Tabandeh   +2 more
exaly  

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