A Novel way of Basic Probability Assignment Calculation for Multisensor Data Fusion

Abstract

The Basic Probability Assignment is also called mass function. The BPA should basically include the uncertainty and obscurity of the context of the real world to recognize and reduce the uncertainty in the result of the arithmetic operation. The BPA makes a decision to make it possible the arithmetic operation between different heterogeneous signals or data. This study proposed calculation of the BPA by getting a clue from a policy that recognizes at a certain time interval and reports changes worth reporting. Usually, ‘the size of changes’ is often the base in a decision of meaningful recognition of events reported to the host. Like this, what aspect the value sensed with the lapse of time has as compared to that sensed in previous time is related to the context. Thus, in deciding the BPA, reflecting this point is relevant. This study analyzed the change of the proposed sensing value to decide the BPA, and based on this, it proved that contexts could be inferred.