فهرست مقالات Belief degree

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  1 - On ‎T‎he Fractional Minimal Cost Flow Problem of a Belief Degree Based Uncertain Network‎
  S. Niroomand
  A fractional minimal cost flow problem under linear type belief degree based uncertainty is studied for the first time. This type of uncertainty is useful when no historical information of an uncertain event is available. The problem is crisped using an uncertain chance چکیده کامل

  A fractional minimal cost flow problem under linear type belief degree based uncertainty is studied for the first time. This type of uncertainty is useful when no historical information of an uncertain event is available. The problem is crisped using an uncertain chance-constrained programming approach and its non-linear objective function is linearized by a variable changing approach. An illustrative example is solved to prove the efficiency of the proposed formulation. پرونده مقاله
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  2 - Uncertain BCC Data Envelopment Analysis Model with Belief Degree: A case study in Iranian Banks
  M. Jamshidi M. Sanei A. Mahmoodirad G. Tohidi F. Hosseinzade Lotfi
  The BCC model is studied in this paper in an uncertain environment where uncertain inputs and outputs were belief degree-based uncertainty‚ useful for the cases for which no historical information of an uncertain event is available. As the solution method‚ t چکیده کامل

  The BCC model is studied in this paper in an uncertain environment where uncertain inputs and outputs were belief degree-based uncertainty‚ useful for the cases for which no historical information of an uncertain event is available. As the solution method‚ the uncertain BCC model was converted to a crisp form using two approaches, separately. Finally, an applied example regarding the Iranian Banking system is presented to document the proposed models. پرونده مقاله
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  3 - Optimal Decision-Making in Fractional Multi-commodity Flow Problem in Uncertainty Environment
  Salim Bavandi Seyed Hadi Nasseri
  10.30495/fomj.2023.1987517.1086
  This paper seeks to address the multi-commodity flow problem in uncertainty conditions, in which the objective function of the problem is of fractional type. The cost coefficients and capacities of the problem are uncertain. The purpose of using uncertainty theory is to چکیده کامل

  This paper seeks to address the multi-commodity flow problem in uncertainty conditions, in which the objective function of the problem is of fractional type. The cost coefficients and capacities of the problem are uncertain. The purpose of using uncertainty theory is to deal with unknown factors in the uncertain network. After stating the optimality conditions, the problem is transformed into a certain fractional multi-commodity flow problem by applying the uncertain chance-constrained programming approach. Then, the variable transformation approach is used to transform the nonlinear objective function to its linear form. Finally, two numerical examples are evaluated to verify the efficiency of the proposed formulation. پرونده مقاله