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North American Fuzzy Information Processing Society Annual Conference

NAFIPS 2018: Fuzzy Information Processing pp 530–537Cite as

Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 831))

Abstract

The traditional utility-based decision making theory assumes that for every two alternatives, the user is either absolutely sure that the first alternative is better, or that the second alternative is better, or that the two alternatives are absolutely equivalent. In practice, when faced with alternatives of similar value, people are often not fully sure which of these alternatives is better. To describe different possible degrees of confidence, it is reasonable to use fuzzy logic techniques. In this paper, we show that, somewhat surprisingly, a reasonable fuzzy modification of the traditional utility elicitation procedure naturally leads to intuitionistic fuzzy degrees.

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Acknowledgments

This work was supported in part by the Perkins Grant administered by the Grants Management Office of the El Paso Community College and by the US National Science Foundation grant HRD-1242122.

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Authors and Affiliations

  1. Computer Science and Information Technology Department, El Paso Community College, 919 Hunter, El Paso, TX, 79915, USA

    Christian Servin

  2. Department of Computer Science, University of Texas at El Paso, El Paso, TX, 79968, USA

    Vladik Kreinovich

Authors
  1. Christian Servin
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  2. Vladik Kreinovich
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Corresponding author

Correspondence to Vladik Kreinovich .

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Editors and Affiliations

  1. Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Ceará, Brazil

    Guilherme A. Barreto

  2. Department of Statistics & Applied Mathematics, Federal University of Ceará, Fortaleza, Ceará, Brazil

    Ricardo Coelho

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Servin, C., Kreinovich, V. (2018). Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees. In: Barreto, G., Coelho, R. (eds) Fuzzy Information Processing. NAFIPS 2018. Communications in Computer and Information Science, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-95312-0_46

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  • DOI: https://doi.org/10.1007/978-3-319-95312-0_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95311-3

  • Online ISBN: 978-3-319-95312-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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