Analytic hierarchy process and Zhou-Yi tagging method for knowledge map navigation

Map navigation is a way of organizing the world\´s information geographically. Knowledge maps are used to visualize a set of related information. To solve problems of knowledge sharing and knowledge reusing in engineering domain, this paper propose a knowledge map navigation which is based on functional ontology and Zhou-Yi clustering. Our new approach of fuzzy clustering is implemented by Analytic Hierarchy Process (AHP) , Grounded Theory and Zhou-Yi tagging. It easily allows users to intuitively capture "difference among sameness" and "sameness among difference" on knowledge domain. At last, a case study on contest robot is applied to demonstrate the proposed model can promote the information searching more efficiently.