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

Inbunden, Engelska, 2020

AvOlga Kosheleva,Sergey P. Shary,Gang Xiang,Roman Zapatrin

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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

Utgivningsdatum2020-02-29
Mått155 x 235 x 41 mm
Vikt1 150 g
FormatInbunden
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor649
FörlagSpringer Nature Switzerland AG
ISBN9783030310400

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

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.