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Introduction and Overview of Structured Expert Judgement

In: Expert Judgement in Risk and Decision Analysis

Author

Listed:
  • Simon French

    (University of Warwick)

  • Anca M. Hanea

    (University of Melbourne)

  • Tim Bedford

    (University of Strathclyde)

  • Gabriela F. Nane

    (Delft University of Technology)

Abstract

This chapter sets the background for when, and discusses the contexts in which, eliciting expert judgements is paramount. The way judgements are elicited and aggregated plays an essential part in distinguishing structured/formal elicitation protocols from informal ones. We emphasise the importance of properly reporting the steps and decision taken during an elicitation, and draw a parallel to the reporting of experimental designs underpinning the data collection. Directions for future research are proposed, and the chapter ends with an outline of the book.

Suggested Citation

  • Simon French & Anca M. Hanea & Tim Bedford & Gabriela F. Nane, 2021. "Introduction and Overview of Structured Expert Judgement," International Series in Operations Research & Management Science, in: Anca M. Hanea & Gabriela F. Nane & Tim Bedford & Simon French (ed.), Expert Judgement in Risk and Decision Analysis, chapter 0, pages 1-16, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-46474-5_1
    DOI: 10.1007/978-3-030-46474-5_1
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    Cited by:

    1. Irina Vinogradova-Zinkevič, 2021. "Application of Bayesian Approach to Reduce the Uncertainty in Expert Judgments by Using a Posteriori Mean Function," Mathematics, MDPI, vol. 9(19), pages 1-23, October.

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