2D laser scanner selection using fuzzy logic

Laser scanners are widely used today in many fields. This paper presents a multi-criteria decision-making selection process of these sensors for different applications using a fuzzy logic approach. Factors affecting the selection process are divided into dynamic and static ones based on their dependency on the application considered. Fuzzy sets and fuzzy rules are used to translate implicit and vague expert opinions provided in linguistic terminology into assessment ratings for different types of laser scanners based on the established factors. The laser scanner with the highest overall assessment rating is chosen as the best alternative for an application. Three laser scanner models from different manufacturers are compared using this method for a shape detection application and the best alternative is found. Results show that the fuzzy logic approach can easily deal with both qualitative and quantitative data and can identify quantitatively the best laser scanner for an application. Fuzzy logic enhances the understanding of the different factors that are the base for any comparison. Moreover, this approach reduces the effect of bias and subjective judgments made by the decision makers.