@article{MAKHILLAJIT20043114798,
    title = {The Evaluation of Electric Power Losses by Fuzzy Regression Model Using Genetic Algorithm},
    journal = {Asian Journal of Information Technology},
    volume = {3},
    number = {11},
    pages = {1039-1046},
    year = {2004},
    issn = {1682-3915},
    doi = {ajit.2004.1039.1046},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2004.1039.1046},
    author = {Mogilenko, A. V. and},
    keywords = {},
    abstract = {This paper presents the comparative study for fuzzy regression model using linear programming, fuzzy regression model using genetic algorithms and standard regression model. The fuzzy and standard models were developed for estimation of electric power losses in electrical networks. Simulation was carried out with a tool developed in MATLAB.}
    }