基于距离衰减的分布式证明组合规则

研究了分布式证据的区域性与置信度问题,发现即使在证据源可靠的情况下,随着与证据源间距离的增大,证据权威性将逐渐减小,传统D S理论会给出悖离常理的结论·解决这一问题可以使用距离函数来衡量证据的有效性,并将其引入mass函数,描述其变化规律·将来自不同观测点的原证据进行换算后再进行组合,通过实验与传统D S理论的比较表明,对分布式观测点外的广泛区域进行可能性估计时,所提方法比传统D S规则具有更强的适应性·

Combination Rules for Distributed Evidences Based on Distance Decay

The localizability and credibility of distributed evidences are considered and, as a result, it is found that the reliability of an evidence weakens with increasing distance even if its source is reliable, and that a paradox is often possible if basing an evidence on the conventional D-S theory. The problem has been ignored until now and still regarded as that the evidence is reliable. To solve the problem, a distance function is used to estimate the validity of an evidence and it is further introduced in the mass function so as to express how the validity of the evidence changes. Then, the original evidences coming from the observing points at different distances are converted so as to combine them together, and the combination rules are compared with those in conventional D-S theory through experiments. The results show that the way proposed here has higher adaptability than conventional D-S rules for the possibility estimate of the extensive area outside the distributed observing points.