Analysis on feelings for designs

The objects of data processing in this research are adjectives such as inno vative, bright, elegant or cheerful expressed by people who are just select ing goods to purchase. The subjective data obtained by a product rating usu ally has a big variance reflecting vagueness, nonlinearity or non-additivit y of the feelings of people. Such data should be considered as fuzzy data a s well as statistical data. In this paper, a method of constructing a fuzzy factor space is suggested. One of the problems here is how to define the s econd moment of fuzzy data. After defining a fuzzy metric space, a covering problem is formulated to detect representative adjectives that are used wi th relatively small differences between people. Finally, the problem of ide ntifying a relation between selected adjectives and pre-selected designs is considered by using a multi-channel adaptive bidirectional associative mem ory.