How Measurement-Related Ideas Can Help Us Use Expert Knowledge When Making Decisions: Three Case Studies

Edgar Daniel Rodriguez Velasquez (), Olga Kosheleva () and Vladik Kreinovich ()
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Edgar Daniel Rodriguez Velasquez: Universidad de Piura in Peru (UDEP), Department of Civil Engineering
Olga Kosheleva: University of Texas at El Paso, Department of Teacher Education
Vladik Kreinovich: University of Texas at El Paso, Department of Computer Science

Chapter Chapter 3 in Fuzzy Optimization, Decision-making and Operations Research, 2023, pp 51-72 from Springer

Abstract: Abstract Ultimately, all our knowledge about the world comes from observations and measurements. An important part of this knowledge comes directly from observations and measurements. For example, when a person becomes sick, we can measure this person’s body temperature, blood pressure, etc. and, thus, usually get a good understanding of the problem. In addition, a significant part of our knowledge comes from experts who –inspired by previous observations and measurements– supplement the measurement results with their estimates. For example, a skilled medical doctor can supplement the measurement results with his/her experience-based intuition. Measurements exist for several millennia, and many effective techniques have been developed for processing measurement results. In contrast, processing expert opinions is a reasonably new field, with many open problems. A natural idea is thus to see if measurement-related ideas can help us use expert knowledge as well. In this chapter, we provide three case studies where such help turned out to be possible.

Date: 2023
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DOI: 10.1007/978-3-031-35668-1_3

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