@article{MAKHILLJEAS201914817689,
    title = {Mathematical Programming Approach for Variable Selection in Discriminant
Analysis: An Environmental Application},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {8},
    pages = {2477-2484},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.2477.2484},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.2477.2484},
    author = {Aiman and},
    keywords = {Discriminant analysis,mixed integer programming,variable selection,mathematical
programming,environmental impact assessment,environmental},
    abstract = {The environmental impact assessment of projects is based on several variables. It is desirable to
select the most important variables needed for classifying any project in only one of three classes according
to severity of possible environmental impact. In this study, the selection of variables in discriminant analysis
between more than two groups using the Mathematical programming approach is applied to Egypt
environmental impact assessment survey 2000 data to select the most important variables for classifying new
projects in the true classes. The results are compared with those of the stepwise method. The comparison
shows that according to the percent of correct classification, the Mathematical programming model is better
than the stepwise method.}
    }