• DocumentCode
    3664014
  • Title

    Applied Z-numbers

  • Author

    Purvag Patel;Shahram Rahimi;Elham Khorasani

  • Author_Institution
    Department of Computer Science, Southern Illinois University, United States
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Z-number is an emerging paradigm that has been utilized in computing with words among others. The concept of a Z-number is intended to provide a basis for computation with numbers that deal with reliability and likelihood. Z-numbers are confluence between the two most prominent approaches to uncertainty, probability and possibility, which allow computations on complex statements. computations on Z-numbers require solving a complex optimization problem over the space of all possible probability distribution which leads in to its slow adoption to computing with words machinery. This paper seeks to provide an applied model of Z-numbers based on certain realistic assumptions regarding the probability distributions. An algorithm and example is presented to demonstrate the applicability of the model.
  • Keywords
    "Probability distribution","Pragmatics","Computational modeling","Gravity","Convolution","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
  • Type

    conf

  • DOI
    10.1109/NAFIPS-WConSC.2015.7284154
  • Filename
    7284154