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Fuzzy Bayesian Nets and Influence Diagrams with Cognitive Numerical Judgment of Imprecise Probabilities

  • Aleksandar Janjić
  • Jelena D. Velimirović
  • Lazar Z. VelimirovićEmail author
Chapter
  • 282 Downloads
Part of the Fuzzy Management Methods book series (FMM)

Abstract

The chapter will explain a connection between subjective uncertainty during the probability assessment and mental number representation of different probabilities expressed by approximate numbers. Subjective probabilities are represented as information granules described by linguistic terms and modeled as triangular fuzzy numbers. The proposed optimization functions proved to be efficient in determination of feasible probability bounds, yet corresponding to the human cognitive process. The usage of optimized fuzzy probabilities is illustrated on simple Influence diagram solving the e-commerce transaction. The quadratic programming model is proposed that can be easily solved, and simulation results are concurrent with the experimental findings of subjective probability assessment.

Notes

Acknowledgements

This work was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia under Grant III 42006 and Grant III 44006.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Aleksandar Janjić
    • 1
  • Jelena D. Velimirović
    • 2
  • Lazar Z. Velimirović
    • 2
    Email author
  1. 1.Faculty of Electronic EngineeringUniversity of NišNišSerbia
  2. 2.Mathematical Institute of the Serbian Academy of Sciences and ArtsBelgradeSerbia

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