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Fuzzy Measure Theory

TLDR
Introduction.
Abstract
Introduction. Required Background in Set Theory. Fuzzy Measures. Extensions. Structural Characteristics for Set Functions. Measurable Functions on Fuzzy Measure Spaces. Fuzzy Integrals. PanIntegrals. Applications. Index.

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Journal ArticleDOI

Application of model-based fault detection and diagnosis to the quality assurance of an automotive actuator

TL;DR: In this article, an automatic diagnostic system for an automotive actuator is described, in which a rule-based approach is used to acquire, represent and process the diagnostic knowledge base.
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Maximising entropy on the nonparametric predictive inference model for multinomial data

TL;DR: This paper presents algorithms to obtain the maximum entropy value when the information available is represented by a new model based on imprecise probabilities: the nonparametric predictive inference model for multinomial data (NPI-M), which represents a type of entropy-linear program.
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A new nonlinear classifier with a penalized signed fuzzy measure using effective genetic algorithm

TL;DR: This paper proposes a new nonlinear classifier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification accuracy and power by capturing all possible interactions among two or more attributes.
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Chebyshev inequality for Sugeno integrals

TL;DR: Other Chebyshev type inequalities which relate the measure of a level set of the maximum and the sum of two non-negative integrable functions and their integrals are obtained.
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Text luminance modulation for hardcopy watermarking

TL;DR: A new PS model where characteristics induced by the halftoning in the printing process are considered, allowing the use of the variance of a character as a new detection metric is proposed, significantly improving the detection performance.