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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 15))

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Abstract

As we have mentioned in Chapter 1, some heuristic methods for processing uncertainty lack justification and are, therefore, less reliable. Usually, techniques for processing interval and probabilistic uncertainty are well-justified, but many techniques for processing expert (fuzzy) data still lack such a justification. In this chapter, we show how a practically efficient heuristic fuzzy technique for decision making under uncertainty can be formally justified.

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Correspondence to Christian Servin .

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Servin, C., Kreinovich, V. (2015). Towards Justification of Heuristic Techniques for Processing Uncertainty. In: Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion. Studies in Systems, Decision and Control, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-12628-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-12628-9_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12627-2

  • Online ISBN: 978-3-319-12628-9

  • eBook Packages: EngineeringEngineering (R0)

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