The results of the Boolean constraint analysis on the entire GVRD, to find which municipalities were good Gap candidates, show a different result than in reality.  In reality, six municipalities have at least one Gap store within their borders.  However, the Idrisi MCE Boolean constraint mapping suggested that only five municipalities had the economic and social feasibility to house a Gap.  Obviously, the subjective constraints that I imposed on the data, made a difference in the site selection.  However, I feel that my socio-economic comparisons were still valid.

    The MCE weighted criteria decision support analysis, run only on Burnaby to find the most suitable mall location within this municipality, were actually close to the reality.  Six malls were chosen as being suitable the the Gap, according to my constraints and Idrisi's analysis.  Although, in reality, out of all of the malls within Burnaby only three malls have at least one Gap store, these three malls were in the same malls as chosen by Idrisi.

    As a result, of these analysis, I am convinced that the role of GIS is a valid tool with regard to  decision support analysis.  Not only were the results much like those that occurred in reality, but in the case of the Boolean aggregation the GIS may have factored in certain variables that the managers did not conceive of.  In this way, GIS may grow within the role of commerce and retail, and aid in many location support decisions.