소속함수에 사용자의 선호도를 반영한 퍼지 집합의 비교 알고리즘

초록

In this paper, a new fuzzy set comparison algorithm which exploits users' preferences is proposed. The preferences used in proposed algorithm are divided into two different kinds of ones: one is a preference on the domain of fuzzy sets and the other is a preference on the membership function. These two preferences are used in determining a similarity value between two fuzzy sets. The similarity function between fuzzy sets is formulated as the function of preferences. This proposed algorithm might give a general solution in determining a similarity value between given fuzzy sets.