1021 観測の不完全性と不正確性、及び観測間の矛盾を考慮した認識

概要

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There sometimes occur problems in observational data : (1) "inaccuracy", especially, due to outliner data, (2) "incompleteness" that data don't satisfy sufficient conditions. In addition to these, there occurs another problem, when integrating multiple pieces of information, i.e., "contradiction" between the information. These problems with observations, furthermore, result in characteristic problems with recognition : (1) "uncertainty", (2) "ignorance", and (3) "contradiction", respectively. These problems degrade credibility of recognition system. This paper proposes following methods for these problems : (1) a calculation method of a feature value considering the outliner observations (2) a quantification method of the "ignorance" by applying the Dempster-Shafer theory (3) another quantification method of the "contradiction" with upper and lower bounds.
一般社団法人日本機械学会の論文
2000-07-31