Combining interval, probabilistic, and other types of uncertainty in engineering applications. (2018)

• Record Type: Book
• Further Information: Note: Andrew Pownuk, Vladik Kreinovich.
• Authors: Pownuk, Andrew M, 1969-; Kreinovich, Vladik
• Contents: Introduction -- How to Get More Accurate Estimates -- How to Speed Up Computations -- Towards a Better Understandability of Uncertainty-Estimating Algorithms -- How General Can We Go: What Is Computable and What Is Not -- Decision Making Under Uncertainty -- Conclusions.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (xi, 202 pages), illustrations (some color)
• Subjects: 003/.54; Engineering; Uncertainty (Information theory); Engineering mathematics; Engineering mathematics; Uncertainty (Information theory); Engineering; Computational Intelligence; Engineering Mathematics; Technology & Engineering -- Engineering (General); Maths for engineers; Computers -- Intelligence (AI) & Semantics; Artificial intelligence; Electronic books
• Languages: English
• ISBNs: 9783319910260; 3319910264
• Related ISBNs: 9783319910253; 3319910256
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed May 7, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.