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Formalising Information Scoring in a Multivalued Logic Framework

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Book cover Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014)

Abstract

This paper addresses the task of information scoring seen as measuring the degree of trust that can be invested in a piece of information. To this end, it proposes to model the trust building process as the sequential integration of relevant dimensions. It also proposes to formalise both the degree of trust and the process in an extended multivalued logic framework that distinguishes between an indifferent level and the actual impossibility to measure. To formalise the process, it proposes multivalued combination operators matching the desired behaviours.

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References

  1. NATO: Annex to STANAG2022. Information handling system (1997)

    Google Scholar 

  2. Demolombe, R.: Reasoning about trust: a formal logical framework. In: Jensen, C., Poslad, S., Dimitrakos, T. (eds.) iTrust 2004. LNCS, vol. 2995, pp. 291–303. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Lesot, M.J., Delavallade, T., Pichon, F., Akdag, H., Bouchon-Meunier, B.: Proposition of a semi-automatic possibilistic information scoring process. In: Proc. of EUSFLAT 2011, pp. 949–956 (2011)

    Google Scholar 

  4. Besombes, J., Revault d’Allonnes, A.: An extension of STANAG2022 for information scoring. In: Proc. of the Int. Conf. on Information Fusion, pp. 1635–1641 (2008)

    Google Scholar 

  5. Revault d’Allonnes, A.: An architecture for the evolution of trust: Definition and impact of the necessary dimensions of opinion making. In: Capet, P., Delavallade, T. (eds.) Information Evaluation, pp. 261–292. Wiley (2014)

    Google Scholar 

  6. Pichon, F., Dubois, D., Denœux, T.: Relevance and truthfulness in information correction and fusion. IJAR 53, 159–175 (2011)

    Google Scholar 

  7. Capet, P., Revault d’Allonnes, A.: Information evaluation in the military domain: Doctrines, practices and shortcomings. In: Capet, P., Delavallade, T. (eds.) Information Evaluation, pp. 103–128. Wiley (2014)

    Google Scholar 

  8. Cholvy, L.: Information evaluation in fusion: a case study. In: Proc. of IPMU 2004, pp. 993–1000 (2004)

    Google Scholar 

  9. Cholvy, L.: Evaluation of information reported: a model in the theory of evidence. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds.) IPMU 2010. CCIS, vol. 80, pp. 258–267. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  10. Akdag, H., De Glas, M., Pacholczyk, D.: A qualitative theory of uncertainty. Fundamenta Informaticae 17, 333–362 (1992)

    MATH  MathSciNet  Google Scholar 

  11. Seridi, H., Akdag, H.: Approximate Reasoning for Processing Uncertainty. J. of Advanced Comp. Intell. and Intell. Informatics 5, 110–118 (2001)

    Google Scholar 

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© 2014 Springer International Publishing Switzerland

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d’Allonnes, A.R., Lesot, MJ. (2014). Formalising Information Scoring in a Multivalued Logic Framework. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-319-08795-5_33

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  • DOI: https://doi.org/10.1007/978-3-319-08795-5_33

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08794-8

  • Online ISBN: 978-3-319-08795-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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