Abstract
In this chapter we will examine four basic methodologies and decision tools that are utilized in the CPBS approach to decision making. The first is Bayesian decision analysis, which forms the heart of the CPBS approach. Tests and measurements that are used to identify or detect a property of interest are generally not perfect. When tests are biased or inaccurate, it is often advantageous to use more than one test. The interpretation of a combination of test results can be problematic because there often exists a variable amount of information overlap (positive dependence) and differences (negative dependence) among the tests. It is a difficult problem to account for both the imperfection of the individual tests as well as their interdependencies in their joint interpretation.
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Pet-Edwards, J., Haimes, Y.Y., Chankong, V., Rosenkranz, H.S., Ennever, F.K. (1989). Fundamental Basics of the CPBS Approach. In: Risk Assessment and Decision Making Using Test Results. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5595-3_2
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DOI: https://doi.org/10.1007/978-1-4684-5595-3_2
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