Jul 6, 2020 · The fuzzy integral is a powerful parametric nonlin-ear function with utility in a wide range of applications, from information fusion to classification, ...
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While the fuzzy integral is in general a nonlinear operator, herein we show that it can be represented by a set of contextual linear order statistics. (LOS).
This work shows that the fuzzy integral can be represented by a set of contextual linear order statistics(LOS), obtained via sampling the fuzzy measure and ...
While the fuzzy integral is in general a nonlinear operator, herein we show that it can be represented by a set of contextual linear order statistics(LOS).
While the fuzzy integral is in general a nonlinear operator, herein we show that it can be represented by a set of contextual linear order statistics(LOS).
Bibliographic details on Fuzzy Integral = Contextual Linear Order Statistic.
This work shows how the fuzzy integral, a parametric non-linear aggregation operator, can be used to fill the gap in fuzzy inference, and explores the role ...
Fuzzy Integral, Visualization, Code · [DOI] [paper] [slides] [video] [code] · Fuzzy Integral = Contextual Linear Order Statistic · Derek T. Anderson, Matthew ...
A pattern recognition problem is approached as follows using the fuzzy integral. Information sources are identified. These sources could be indi- vidual ...
In this paper, we will study the aggregation problem with interacting criteria, and we will introduce the concepts of fuzzy measures and integrals.