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Volume 9, No. 2, 2014

  • Lepskiy A.E.
    «General schemes of the combining rules of evidence and a posteriori characteristics of quality of combining»
    Some general schemes and examples of aggregation of two belief functions into a single belief function are considered in this paper. We find some sufficient conditions of change of ignorance when evidences are combined with the help of various rules. It is shown that combining rules can be regarded as pessimistic or optimistic depending on the sign of the change of ignorance after applying.

    Resources: title page of the article.

    Bibliographic citation
    Lepskiy A.E. General schemes of the combining rules of evidence and a posteriori characteristics of quality of combining. Nechetkie sistemy i myagkie vychisleniya [Fuzzy Systems and Soft Computing], 2014, vol. 9, no. 2, pp. 93-114.
  • Suvorova A.V., Tulupyev A.L., Sirotkin A.V.
    «Software for synthesis of Bayesian belief networks from individual episodes of risky behavior»
    We consider a problem of socially significant behavior rate estimates in terms of Bayesian belief networks. We offer an approach to the risky behavior modelling on the base of data about behavior episodes. We describe the model and provide results of applying the model to statistical data. Our findings show that these results are applicable to further decision making.

    Keywords: risky behavior, last episodes, Bayesian belief networks, probabilistic graphical models.

    Resources: title page of the article.

    Bibliographic citation
    Suvorova A.V., Tulupyev A.L., Sirotkin A.V. Bayesian belief networks for risky behavior rate estimates. Nechetkie sistemy i myagkie vychisleniya [Fuzzy Systems and Soft Computing], 2014, vol. 9, no. 2, pp. 115-129. (in Russian)
  • Sorokin S.V., Shtykova A.V.
    «A method for solving a problem of possibilistic programming»
    New parametric form for fuzzy relations is introduced. Fuzzy linear programming problems with fuzzy relations of this kind are analysed to uncover infeasible constraints.

    Keywords: fuzzy linear programming, infeasibility, fuzzy relations.

    Resources: title page of the article.

    Bibliographic citation
    Sorokin S.V., Shtykova A.V. Parameterization of fuzzy binary relations in possibilistic optimization problems. Nechetkie sistemy i myagkie vychisleniya [Fuzzy Systems and Soft Computing], 2014, vol. 9, no. 2, pp. 131-146. (in Russian)

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