Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications

Häftad, Engelska, 2021

Del i serien Studies in Computational Intelligence

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Beskrivning

Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitablefor graduate students.

Produktinformation

Utgivningsdatum:2021-08-26
Mått:155 x 235 x 36 mm
Vikt:990 g
Format:Häftad
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:649
Förlag:Springer Nature Switzerland AG
ISBN:9783030310431

Utforska kategorier

Teknik: allmänt inom Naturvetenskap och teknik
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Symmetries are Important.- Constructive Continuity of Increasing Functions.- A Constructive Framework for Teaching Discrete Mathematics.- Fuzzy Logic for Incidence Geometry.- Strengths of Fuzzy Techniques in Data Science.- Impact of Time Delays on Networked Control of Autonomous Systems.- Sets and Systems.- An Overview of Polynomially Computable Characteristics of Special Interval Matrices.- Interval Regularization for Inaccurate Linear Algebraic Equations.- Measurable Process Selection Theorem and Non-Autonomous Inclusions.- Handling Uncertainty When Getting Contradictory Advice from Experts.- Why Sparse?.- The Kreinovich Temporal Universe.- Integral Transforms induced by Heaviside Perceptrons.