A Novel Approach for Treating Uncertain Frame-Based Knowledge Conflicts

Abstract

For conflicting or redundant knowledge, designated knowledge are usually followed to implement prioritized or direct deletions. Due to the uncertainty of uncertain knowledge itself, it is difficult to treat conflicting knowledge, and the citation of erroneous knowledge leads to mistakes in decision making. It is therefore a necessity to confirm the existence and reliability of the cited knowledge.The current study attempts to provide an uncertain frame-based knowledge conflict treatment algorithm by integrating a group decision and an uncertain inference. In the algorithm, a "reliability factor" refers to the reliability level of the conflicting or redundant knowledge, while the "certainty factor" indicates the existence of the knowledge itself. A "certainty reliability index" is used to show both the existence of the knowledge itself and its reliability. For conflicting or redundant knowledge, it is suggested that the knowledge with a higher reliability factor be chosen. This can then effectively prevent or minimize mistakes in making decisions.