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Fuzzy Measure Theory
Zhenyuan Wang,George J. Klir +1 more
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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.read more
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Interference reflection separation from a single image
TL;DR: A technique for separating reflection and object components of a single interference image is presented and it is demonstrated that the proposed method can perform of asingle interference image effectively with small misadjustments and rapid convergence.
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Case-Based Reasoning for Cash-Flow Forecasting using Fuzzy Retrieval
TL;DR: A CBR system that develops forecasts for cash flow accounts makes use of fuzzy integrals to calculate the synthetic evaluations of similarities between cases instead of the usual weighted mean.
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The completion of a fuzzy measure and its applications
TL;DR: As an application of the complete fuzzy measure, both convergence almost everywhere and convergence in fuzzy measure Egoroff's theorems are provided.
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5 – Fuzzy Measures of Molecular Shape and Size
TL;DR: This chapter provides the basic concepts of fuzzy sets and reviews the specific notations and the fuzzy set concepts that are most relevant to the molecular shape problem, followed by a simple proof for a special fuzzy set generalization of the Hausdorff distance.
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An Update on Generalized Information Theory.
TL;DR: Recent developments and trends in the area of generalized information theory (GIT) and some of the issues of current interest regarding the measurement of uncertaintybased information for imprecise probabilities on finite crisp sets are surveyed.