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Algebraic techniques and their use i...

Nguyen, Hung T.

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Algebraic techniques and their use in describing and processing uncertainty = to the memory of Professor Elbert A. Walker /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Algebraic techniques and their use in describing and processing uncertainty/ edited by Hung T. Nguyen, Vladik Kreinovich.
Reminder of title:	to the memory of Professor Elbert A. Walker /
other author:	Nguyen, Hung T.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	viii, 170 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Algebra. -
Online resource:	https://doi.org/10.1007/978-3-030-38565-1
ISBN:	9783030385651

Algebraic techniques and their use in describing and processing uncertainty = to the memory of Professor Elbert A. Walker /
Algebraic techniques and their use in describing and processing uncertaintyto the memory of Professor Elbert A. Walker /[electronic resource] :edited by Hung T. Nguyen, Vladik Kreinovich. - Cham :Springer International Publishing :2020. - viii, 170 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.8781860-949X ;. - Studies in computational intelligence ;v.878..

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.

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.

ISBN: 9783030385651

Standard No.: 10.1007/978-3-030-38565-1doiSubjects--Topical Terms:

516203
Algebra.

LC Class. No.: QA152.3 / .A444 2020

Dewey Class. No.: 512

Algebraic techniques and their use in describing and processing uncertainty = to the memory of Professor Elbert A. Walker /
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245 0 0 $a Algebraic techniques and their use in describing and processing uncertainty $h [electronic resource] : $b to the memory of Professor Elbert A. Walker / $c edited by Hung T. Nguyen, Vladik Kreinovich.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a viii, 170 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.878
505 0 $a 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.
520 $a 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.
650 0 $a Algebra. $3 516203
650 0 $a Mathematical analysis. $3 516833
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
700 1 $a Nguyen, Hung T. $3 1566508
700 1 $a Kreinovich, Vladik. $3 1965595
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830 0 $a Studies in computational intelligence ; $v v.878. $3 3448626
856 4 0 $u https://doi.org/10.1007/978-3-030-38565-1
950 $a Intelligent Technologies and Robotics (Springer-42732)