Understanding and developing strategic corporate social responsibility

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• 作者：PETER A. HESLIN ; JENNA D. OCHOA
• 关键词：Belief function theory ; Transferable belief model ; Evidential theory ; Multivariate Gaussian pdf ; Target classification ; Target tracking ; Particle filtering
• 刊名：Organizational Dynamics
• 出版年：2008
• 期刊代码：69_00902616
• 类别：bus
• 出版时间：April-June 2008
• 卷：37
• 期：2
• 页码：125-144
• 文件大小：197 K

摘要

We consider here the case where our knowledge is partial and based on a betting density function which is n-dimensional Gaussian. The explicit formulation of the least committed basic belief density (bbd) of the multivariate Gaussian pdf is provided in the transferable belief model (TBM) framework. Beliefs are then assigned to hyperspheres and the bbd follows a χ² distribution. Two applications are also presented. The first one deals with model based classification in the joint speed–acceleration feature space. The second is devoted to joint target tracking and classification: the tracking part is performed using a Rao–Blackwellized particle filter, while the classification is carried out within the developed TBM scheme.