
Algebraic Techniques and Their Use in Describing and Processing Uncertainty
To the Memory of Professor Elbert A. Walker
Springer (Publisher)
Published on 14. February 2021
Book
Paperback/Softback
VIII, 170 pages
978-3-030-38567-5 (ISBN)
Description
This book discusses heuristic methods - methods lacking a solid theoretical justification - which are ubiquitous in numerous application areas, and explains techniques that can make heuristic methods more reliable. Focusing on algebraic techniques, i.e., those that use only a few specific features of a situation, it describes various state-of-the-art applications, ranging from fuzzy methods for dealing with imprecision to general optimization methods and quantum-based methods for analyzing economic phenomena. The book also includes recent results from leading researchers, which could (and hopefully will) provide the basis for future applications. As such, it is a valuable resource for mathematicians interested in potential applications of their algebraic results and ideas, as well as for application specialists wanting to discover how algebraic techniques can help in their domains.
More details
Series
Edition
2020 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
21 s/w Abbildungen
VIII, 170 p. 21 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
283 gr
ISBN-13
978-3-030-38567-5 (9783030385675)
DOI
10.1007/978-3-030-38565-1
Schweitzer Classification
Other editions
Additional editions

Hung T. Nguyen | Vladik Kreinovich
Algebraic Techniques and Their Use in Describing and Processing Uncertainty
To the Memory of Professor Elbert A. Walker
Book
02/2020
Springer
€106.99
Shipment within 7-9 days
Persons
Content
Specker Algebras: A Survey.- Least Square Approximations and Linear Values of Cooperative Game.- Elementary Divisor Domains as Endomorphism Rings.- A Topos View of the Type-2 Fuzzy Truth Value Algebra.- A Symmetry-Based Explanation of the Main Idea Behind Chubanov's Linear Programming Algorithm.- Why Bohmian Approach to Quantum Econometrics: An Algebraic Explanation.- Direct Decompositions of Matrices.