@article{oai:bunkyo.repo.nii.ac.jp:00003387,
 author = {鈴木, 昇一},
 journal = {情報研究, Information and Communication Studies},
 month = {1990-01-01, 2012-01-17},
 note = {We point out three following matters : ( 1 ) It does not necessarily follow that a similarity-measure is defined between two any patterns. ( 2 ) The measure have only to be defined between any pattern and a typical pattern of any category. ( 3 ) The measure have to be defined using a perceptual representation of any pattern, that is, a model of any pattern.
　It is the purpose of the present paper to propose by the use of membership-coefficients the measure which satisfies three above matters and to compute by means of a computer simulation membership-equivocations and amounts of recognitive information of isolated Japanese vowels as input patterns. The equivocation is defined as an entropy function of the measure, and the amount as a Kullback discriminant function of the measure.
　We pay attention to the following request : An amount of selfinformation must be obtained as a logarithmic function of the reciprocal of an occurrence-probability of a category if a system recognizes that an input pattern belongs to the category. The request can be explained sufficiently with such an amount of recognitive information.},
 pages = {51--68},
 title = {帰属係数法に基づく類似度,帰属関係あいまい度,認識情報量の計算機シミュレーション},
 volume = {11},
 year = {}
}