Developing decision support systems using the weighted product method for house selection

Abstract

Selecting a house may be a complicated task for non-experienced people due to the numerous criteria to consider and frequently, one criterion is opposed other criteria. The difficulty causes people have to spend longer time for making decision and consequently lead to an improper decision. However, the house selection problems cannot be solved by using exact linear mathematical equation and require heuristic process that can be considered as a semi-structured problem. The computer-based decision support systems can be used as an alternative for helping non-experienced users to make decision as good as an expert. This paper presents an empirical work of a development of decision support systems for house selection. The general objective of the research is to provide a web-based decision support systems based on the weighted product method for house selection. There are eleven main criteria involved in this house selection computation resulted from interview with respondents. The computation result showed that the weighted product method is able to rank the given alternatives to aid people in choosing the best alternative.

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