For many decision problems with uncertainty, triangular intuitionistic fuzzy number is a useful tool in expressing ill-known quantities. This paper develops a novel decision method based on zero-sum game for multiple attribute decision making problems where the attribute values take the form of triangular intuitionistic fuzzy numbers and the attribute weights are unknown. First, a new value ind...

this article addresses the problem of balancing the time-cost-income aspects of talent management and succession in knowledge-based organizations. reviewing the literature figures out that many researches emphasize the importance of talent management and planning for succession. while the wide range of attracting talents from outside to fill this gap to train the inside talents to have a succes...

Implementing integrated electric-heat systems (IEHSs) with coupled power distribution networks and district heating is an essential means to solve current energy problems. However, prosumers multiple forms renewable sources natural uncertainties pose challenges the operation of IEHSs. This paper proposes a joint reserve dispatch model for IEHSs based on transactive energy, which coordinated com...

Mixed-integer polynomial programming (MIPP) problems are one class of mixed-integer nonlinear programming (MINLP) problems where objective function and constraints are restricted to the polynomial functions. Although the MINLP problem is NP-hard, in special cases such as MIPP problems, an efficient algorithm can be extended to solve it. In this research, we propose an algorit...

We consider a fractional program with both linear and quadratic equation in numerator and denominator  having second order cone (SOC) constraints. With a suitable change of variable, we transform the problem into a  second order cone programming (SOCP)  problem.  For the quadratic fractional case, using a relaxation, the problem is reduced to a semi-definite optimization (SDO) program. The p...

This report gives an overview of the linear complementarity problem, as a special case of mathematical programming with equilibrium constraints. The interior point method and two versions of Lemke’s method are reviewed, as methods for solving the linear complementarity problem. The report concludes with a description of the Stackelberg game and the bimatrix game as possible applications of math...

This paper presents a new method for regression model prediction in an uncertain environment. In practical engineering problems, in order to develop regression or ANN model for making predictions, the average of set of repeated observed values are introduced to the model as an input variable. Therefore, the estimated response of the process is also the average of a set of output values where th...

In this research we introduce the game theory model for efficient spectrum allocation. The proposed game theory model uses the genetic algorithm application to analyze a radio frequency and optimize the utility function (each player’s preferences). The simulations were done using MATLAB ‘gatool’. The results show that genetic algorithms have positive effect on game theory models in spectrum all...