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Data Fusion, Decision-Making, and Risk Analysis: Mathematical Tools and Techniques

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Data Modeling for Metrology and Testing in Measurement Science

Summary

Human activity involves sequential decision-making. Activities with alternatives require deciding for one of the alternatives. A rational decision is one that weighs each alternative pros, cons, and risks. The support for decision-making is data that come basically from experience, either previously acquired or gathered for the specific decision-making. The data usually come from different sources and thus have to be fused for a single decision. The core of this chapter is precisely about data fusion. In its subsections, we look namely at some procedures and techniques commonly used in data fusion. Decision-making and risk analysis are briefly discussed

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Authors and Affiliations

  1. Instituto de Telecomunica ções Instituto Superior Técnico DEEC UTL, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal

    Pedro S. Girão, Octavian Postolache & José M. D. Pereira

  2. Escola Superior de Tecnologia, IPS, Setúbal

    Octavian Postolache & José M. D. Pereira

Authors
  1. Pedro S. Girão
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  2. Octavian Postolache
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  3. José M. D. Pereira
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Correspondence to Pedro S. Girão .

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Editors and Affiliations

  1. Metrologica (INRIM), Divisione Termodinamica, Istituto Nazionale di Ricerca, Strada delle Cacce 73, Torino, 10135, Italy

    Franco Pavese

  2. MSC , Module 13 , National Physics Laboratory , Hampton Road, Teddington, Middlesex, TW11 0LW, United Kingdom

    Alistair B. Forbes

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Girão, P.S., Postolache, O., Pereira, J.M.D. (2009). Data Fusion, Decision-Making, and Risk Analysis: Mathematical Tools and Techniques. In: Pavese, F., Forbes, A. (eds) Data Modeling for Metrology and Testing in Measurement Science. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4804-6_7

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