TY - JOUR PY - 2015/05/17 Y2 - 2024/03/29 TI - A Heuristic Algorithm that Finds the Minimum and the Maximum of the Outputs of a Fuzzy Socio-political Model of E-democracy JF - INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY JA - IJCT VL - 14 IS - 7 SE - Research Articles DO - 10.24297/ijct.v14i7.1890 UR - https://rajpub.com/index.php/ijct/article/view/1890 SP - 5929-5942 AB - Most of the techniques of nonlinear optimization assume the existence of a differential function, but there also exist other approaches. In this paper, we propose a non-differential algorithm that solves the problem of minimization and maximization for any objective function of several unknown variables. The algorithm searches for a solution vector of variables that yields the optimal result of the objective function, using a trial-and-error process. The algorithm is not fast, but it converges to a non-trivial solution, if it exists. The method will be used to determine the minimum and the maximum of the outputs of a socio-political model of E-Democracy. This model of E-Democracy is based on a Mamdani fuzzy inference system.  We provide formalization and Matlab implementation for our fuzzy system and for the algorithm ER -