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Elicitation of Expert Opinions for Uncertainty and Risks [Hardcover]

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  • Category: Books (Technology & Engineering)
  • Author:  Ayyub, Bilal M.
  • Author:  Ayyub, Bilal M.
  • ISBN-10:  0849310873
  • ISBN-10:  0849310873
  • ISBN-13:  9780849310874
  • ISBN-13:  9780849310874
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  328
  • Pages:  328
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jan-1998
  • Pub Date:  01-Jan-1998
  • SKU:  0849310873-11-MPOD
  • SKU:  0849310873-11-MPOD
  • Item ID: 100767529
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jan 19 to Jan 21
  • Notes: Brand New Book. Order Now.
Experts, despite their importance and value, can be double-edged swords. They can make valuable contributions from their deep base of knowledge, but those contributions may also contain their own biases and pet theories. Therefore, selecting experts, eliciting their opinions, and aggregating their opinions must be performed and handled carefully, with full recognition of the uncertainties inherent in those opinions.

Elicitation of Expert Opinions for Uncertainty and Risks illuminates those uncertainties and builds a foundation of philosophy, background, methods, and guidelines that helps its readers effectively execute the elicitation process. Based on the first-hand experiences of the author, the book is filled with illustrations, examples, case studies, and applications that demonstrate not only the methods and successes of expert opinion elicitation, but also its pitfalls and failures.

Studies show that in the future, analysts, engineers, and scientists will need to solve ever more complex problems and reach decisions with limited resources. This will lead to an increased reliance on the proper treatment of uncertainty and on the use of expert opinions. Elicitation of Expert Opinions for Uncertainty and Risks will help prepare you to better understand knowledge and ignorance, to successfully elicit expert opinions, to select appropriate expressions of those opinions, and to use various methods to model and aggregate opinions.Knowledge and Ignorance
Information Abundance and Ignorance
The Nature of Knowledge
Cognition and Cognitive Science
Time and its Asymmetry
Defining Ignorance in the Context of Knowledge
Exercise Problems
Information-Based System Definition
Introduction
System Definition Models
Hierarchical Definitions of Systems
Models for Ignorance and Uncertainty Types
Systems Complexity
Exercise Problems
Experts, Opinions, and Elicitation Methods&llC(
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