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Fidelity, Resolution, Accuracy, and Uncertainty

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Modeling and Simulation in the Systems Engineering Life Cycle

Part of the book series: Simulation Foundations, Methods and Applications ((SFMA))

Abstract

The basic idea of modeling and simulation (M&S) fidelity is “correspondence with reality.” There are a variety of concepts regarding what is involved in M&S fidelity and about how fidelity should be measured and described. Since the level of fidelity required is one of the main M&S cost drivers, it requires careful atten-tion. Higher fidelity increases the cost of M&S development and usually increases the cost of using the M&S. Fidelity is an important factor in M&S assessments, such as verification, validation, and accreditation. Due to the increasing reliance upon M&S results in all areas of modern science and engineering, the capability to establish confidence in M&S correctness and in the appropriateness of results for particular applications has increasing importance. Establishing such confidence in M&S results depends critically upon proper determination of fidelity. Some con-fuse fidelity with validity. Fidelity is an absolute indication of M&S results corre-spondence with reality, while validity is a relative indication of appropriateness of M&S results for a specified purpose. Validity normally uses fidelity information about the M&S as part of the basis for assessment of M&S appropriateness for a specified purpose. This chapter presents a basic concept of M&S fidelity; one which is generally compatible with many contemporary approaches. Then it discusses dimensions and attributes of M&S fidelity. Finally the chapter addresses a number of issues often encountered with M&S fidelity.

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Notes

  1. 1.

    http://www.msco.mil/MSGlossary.html.

  2. 2.

    http://www.sisostds.org.

  3. 3.

    Widely known as “Manfred.”

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Correspondence to Dale K. Pace ThD .

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© 2015 Springer-Verlag London

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Pace, D. (2015). Fidelity, Resolution, Accuracy, and Uncertainty. In: Loper, M. (eds) Modeling and Simulation in the Systems Engineering Life Cycle. Simulation Foundations, Methods and Applications. Springer, London. https://doi.org/10.1007/978-1-4471-5634-5_3

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  • DOI: https://doi.org/10.1007/978-1-4471-5634-5_3

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5633-8

  • Online ISBN: 978-1-4471-5634-5

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