Fuzzy Logic and Probability Applications 2002
DOI: 10.1137/1.9780898718447.ch6
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6. Guidelines for Eliciting Expert Judgment as Probabilities or Fuzzy Logic

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Cited by 14 publications
(12 citation statements)
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“…It is why it is well adapted for collecting and aggregating opinions. The important literature on fuzzy logic, and the way to use it in aggregating experts' opinions by means of statistical or fuzzy approaches (Meyer and Booker, 2001;Meyer et al, 2002;McCarthy, 2007), will not be reviewed either. This property of 'universal approximator' is very useful in many problems, including engineering control (Passino and Yurkovich, 1997), and decision-making.…”
Section: The Principles Of Fuzzy Inference Systems (Fis) For the Analmentioning
confidence: 99%
“…It is why it is well adapted for collecting and aggregating opinions. The important literature on fuzzy logic, and the way to use it in aggregating experts' opinions by means of statistical or fuzzy approaches (Meyer and Booker, 2001;Meyer et al, 2002;McCarthy, 2007), will not be reviewed either. This property of 'universal approximator' is very useful in many problems, including engineering control (Passino and Yurkovich, 1997), and decision-making.…”
Section: The Principles Of Fuzzy Inference Systems (Fis) For the Analmentioning
confidence: 99%
“…That is, we describe the role to those who contact us, ask them how to ask questions, and wait to see who begins to carry the work forward in their community (Meyer and Butterfield et al 2000). Once the insiders have been identified, we ask them privately what they would personally like to gain from participating in this work and how they will judge its success or failure.…”
Section: Phase 1: Interpretationmentioning
confidence: 99%
“…If we elicit their reasons in advance, we can work toward their realization and ensure the continued participation and good will of the insiders. For example, in the high-tech reliability projects, insiders' motivations have ranged from wanting to pass on their knowledge before they retired; to developing a process for predicting reliability to the stage where it could be demonstrated in the field, adopted by the company, and applied to all new product development programs (Meyer and Butterfield et al 2000). Continued participation is the ideal because it allows the participants to more fully, deeply evolve the interpretation, representation, and integration of the knowledge.…”
Section: Phase 1: Interpretationmentioning
confidence: 99%
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