A Heuristic Algorithm that Finds the Minimum and the Maximum of the Outputs of a Fuzzy Socio-political Model of E-democracy

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY

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Field Value
 
Title A Heuristic Algorithm that Finds the Minimum and the Maximum of the Outputs of a Fuzzy Socio-political Model of E-democracy
 
Creator Turcoane, Ovidiu
 
Subject Computer Science; Network Optimization
Nonlinear optimization; non-differential optimization algorithm; Mamdani inference system; E-Democracy model; direct search
 
Description 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
 
Publisher CIRWORLD
 
Date 2015-07-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://cirworld.com/index.php/ijct/article/view/1890
 
Source INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY; Vol 14 No 7; 5929-5942
2277-3061
 
Language eng
 
Relation http://cirworld.com/index.php/ijct/article/view/1890/1850
 
Rights Copyright (c) 2016 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
http://creativecommons.org/licenses/by/4.0
 

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