Title :
Statistical approaches to fusion with uncertainty
Author :
Hummel, Robert ; Manevitz, Larry
Author_Institution :
Courant Inst., New York Univ., NY, USA
Abstract :
Reasoning with uncertainty is a field with many different approaches and viewpoints, with important applications to sensor design and autonomous system development. An attempt is made to unify some of the different approaches by introducing a common philosophical framework under which different calculi may be developed. Each calculus reflects different design choices compatible with the philosophical tenets. The tenets postulate that uncertainty in representations can be viewed as a degree of dispersion of opinions, and that the space of opinions operates as a separate sample space distinct from the underlying sample space on which probabilities are normally defined. Different calculi result when choices are made for the representation of the opinions, the method for combining opinions, the method for juxtaposing multiple sets of opinions, and the way of measuring the spread in the opinions
Keywords :
calculus; inference mechanisms; probability; signal processing; statistical analysis; autonomous system; calculus; opinions; probability; reasoning; sensor fusion; statistical analysis; uncertainty; Application software; Bayesian methods; Calculus; Computer science; Current measurement; Probability; Sensor fusion; Sensor systems; Sensor systems and applications; Uncertainty;
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
DOI :
10.1109/ICSMC.1991.169789