Overview
- Presents the Fundamentals of Error theory
- Provides an Introduction to the theory of error as well as applications reference book for researchers in decision making, management science, sociology,fuzzy logic and sets, system science, systems engineering Decision Making of Socioeconomic Systems
- Systematically investigates the root causes and mechanisms that generate errors through the use of fuzzy set theory, systems science, logic and set theory, and decision science
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 267)
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Table of contents (7 chapters)
Keywords
About this book
This book provides a tool for generic readers and graduates who are interested or majoring in systems engineering, decision science, management science, and project management to sharpen their system thinking skills, equipping them with a multiangle perspective, and offering them broader view to understand the complex socioeconomic system in which we are embedded.
It systematically investigates the root causes and mechanisms that generate errors through the use of fuzzy set theory, systems science, logic and set theory, and decision science – an area that has rarely been explored in literature. The topics covered include classic error set, fuzzy error set, multivariate error set, error function, identification of errors, error systems, error logic, error matrix, and practical application of error theory in a sewage project.
Authors and Affiliations
Bibliographic Information
Book Title: Fundamentals of Error Theory
Book Subtitle: Applications in Decision Making
Authors: Kaizhong Guo, Shiyong Liu
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-02747-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-02746-9Published: 01 January 2019
eBook ISBN: 978-3-030-02747-6Published: 11 December 2018
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XX, 336
Number of Illustrations: 58 b/w illustrations, 9 illustrations in colour
Topics: Computational Intelligence, Economic Theory/Quantitative Economics/Mathematical Methods, Artificial Intelligence