An intelligent insect search system based on observation of the insect's structure

To overcome such difficulties, we propose a new model, the ISOIS (Insect Search based on Observation of the Insect's Structure) method. It is based on natural observation in the sequence of insect's structure. In addition to that, it is equipped with inference through similarity measure according to the observation attributes by the sequence of biological classification to improve user satisfaction. Finally, we compare it with the ISBC and ISOBC methods. In order to compare the priorities among these three insect search systems, using the AHP method, we derive three evaluation criteria for user satisfaction and three sub-evaluation criteria for each evaluation criterion. In the empirical survey results, we found the order of priorities was ISOIS, ISOBC, and ISBC. This shows that the ISOIS system proposed in this study is comparatively superior to the ISBC and ISOBC systems in usage and quality.