Abstract
We propose a novel quantization method for human likelihood or preference using several sorting results. We estimate an evaluation function by assuming that the data is sorted on the basis of observed function values and that the sorting order varies from person to person according to the observation error for the function. We present tests to evaluate the proposed method by using random data and sorting data for gray images. These will show that our method is valid enough when the data have certain variety.
