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Uncertainty Characterization of Performance Measure: A Fuzzy Logic Approach

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Transactions on Engineering Technologies

Abstract

The process of performance measurement encompasses the activities of designing, data collection and analysis. The lack of quality of performance measures (PMs) may influence decision-making. Since the process of performance measurement involves generally several actors, the decision-maker may not be aware of the level of uncertainty associated with performance measures. In this paper, fuzzy logic is used to represent the uncertainty generated in PMs during its design, use and analysis stages. The identification of uncertainty sources and the determination of an Uncertainty Index support actions to improve performance measures’ quality. An application example is provided to show the usefulness of the proposed methodology.

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Acknowledgment

This work has been supported by FCT—Fundação para a Ciência e Tecnologia within the Project Scope: PEst-OE/EEI/UI0319/2014.

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Authors and Affiliations

  1. Centro Algoritmi, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal

    Sérgio Dinis Teixeira de Sousa, Eusébio Manuel Pinto Nunes & Isabel da Silva Lopes

Authors
  1. Sérgio Dinis Teixeira de Sousa
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  2. Eusébio Manuel Pinto Nunes
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  3. Isabel da Silva Lopes
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Corresponding author

Correspondence to Sérgio Dinis Teixeira de Sousa .

Editor information

Editors and Affiliations

  1. Computer & Communication, Catholic University of DaeGu Engineering College, DaeGu, Korea, Republic of (South Korea)

    Haeng Kon Kim

  2. College of Engineering, California State Polytechnic University, Pomona, California, USA

    Mahyar A. Amouzegar

  3. IAENG Secretariat, International Association of Engineers, Hong Kong, Hong Kong SAR

    Sio-long Ao

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Teixeira de Sousa, S.D., Nunes, E.M.P., da Silva Lopes, I. (2015). Uncertainty Characterization of Performance Measure: A Fuzzy Logic Approach. In: Kim, H., Amouzegar, M., Ao, Sl. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7236-5_34

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  • DOI: https://doi.org/10.1007/978-94-017-7236-5_34

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-7235-8

  • Online ISBN: 978-94-017-7236-5

  • eBook Packages: EngineeringEngineering (R0)

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