A comparison of similarity measures of fuzzy values
Fuzzy Sets and Systems
On certain generalizations of inner product similarity measures
Journal of the American Society for Information Science - Special issue on user-centered cooperative systems
A distance and angle similarity measure method
Journal of the American Society for Information Science
Developing a new similarity measure from two different perspectives
Information Processing and Management: an International Journal
PREPARE: A Tool for Knowledge Base Verification
IEEE Transactions on Knowledge and Data Engineering
Verification and Validation of Knowledge-Based Systems
IEEE Transactions on Knowledge and Data Engineering
Toward a Theory of Knowledge Reuse: Types of Knowledge Reuse Situations and Factors in Reuse Success
Journal of Management Information Systems
A similarity measure for stereo feature matching
IEEE Transactions on Image Processing
Hi-index | 12.05 |
During various knowledge sources and expert comments in the knowledge base may lead to knowledge overlaps, conflicts or data size variations in the knowledge base, with wrong knowledge leads to wrong decisions. This study proposes using an O-A-RV structure to express rule-based knowledge, integrating conditional probability, vector matrix and artificial intelligence, and building a conditional probability knowledge similarity algorithm, so as to obtain a similarity matrix of knowledge and determines correlations among knowledge. Also proposed to use reliability factor theory to express knowledge conflicts, overlaps and data size variations. Based on knowledge correlations, a rule-based knowledge value-added treatment inference algorithm is set up to run value-added treatments, so that wrong decisions can be avoided.