高技术通讯2012，Vol.22Issue(6)：638-643,6.DOI:10.3772/j.issn.1002-0470.2012.06.013
基于焦元信度折扣和概率排序的信息融合决策方法
An information fusion and decision method based on belief-discount and probability ranking of focal elements
摘要
Abstract
Considering that it is hard to obtain the prior information of node location using Bayesian inference based positioning methods, a Dempster-Shafer based information fusion and decision method for indoor positioning is proposed in the paper. The Pignistic probability is adopted to reflect the conflict on belief assignment. The evidence pretreat-ment using belief-discount of the focal elements is implemented according to the conflict degree. The method can eliminate one ballot veto and Zadeh' s paradox during positioning by fusing pretreated evidences. According to the distribution functions of two focal elements on their own belief intervals, the probabilities ranking in a descending order on the whole belief interval are calculated respectively and taken as the basis of decision-making for the focal elements interlaping on the belief intervals. The results of the examples indicate that the proposed method is consistent with the essence of evidence theory in the fusion of conflict evidences, especially, it can accelerate the convergence and reduce the decision risk.关键词
室内定位/证据预处理/Pignistic概率/信度折扣/概率排序Key words
indoor positioning/ evidence pretreatment/ Pignistic probability/ belief-discount/ probability ranking引用本文复制引用
佟为明,李方,李中伟,王铁成..基于焦元信度折扣和概率排序的信息融合决策方法[J].高技术通讯,2012,22(6):638-643,6.基金项目
国家自然科学基金(51077015)和黑龙江省自然科学基金(E200914)资助项目. （51077015）
