A fuzzy multi-criteria decision approach to identify measurement instruments

Abstract

This paper presents an effective solution for identifying measurement instruments from the metadata the section of the airborne measurement data files. These instruments were used in generating NASA airborne measurement data. Therefore, these are important information for data preservation and distribution processes. The instrument information, however, are placed in one or more places within the metadata section due to lack of rigor in data format standards. We use a fuzzy multi-criteria decision making system as our framework in order to account for the contribution from multiple information sources. In addition, we have chosen analytic hierarchy process to determine the relative importance of each criterion. The algorithm is applied to multiple NASA airborne missions, and results demonstrate the effectiveness of the proposed method.