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

In: Fuzzy Optimization, Decision-making and Operations Research

Author

Listed:
  • Edgar Daniel Rodriguez Velasquez

    (Universidad de Piura in Peru (UDEP), Department of Civil Engineering
    University of Texas at El Paso, 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)

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.

Suggested Citation

  • Edgar Daniel Rodriguez Velasquez & Olga Kosheleva & Vladik Kreinovich, 2023. "How Measurement-Related Ideas Can Help Us Use Expert Knowledge When Making Decisions: Three Case Studies," Springer Books, in: Chiranjibe Jana & Madhumangal Pal & Ghulam Muhiuddin & Peide Liu (ed.), Fuzzy Optimization, Decision-making and Operations Research, chapter 0, pages 51-72, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-35668-1_3
    DOI: 10.1007/978-3-031-35668-1_3
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