Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
In this paper, we get an inferense solutions for natural language propositions involving fuzzy quantifiers and truth qualifiers by using genetic algorithms. We apply shift type transformation for fuzzy predicate. We find the inference solutions are independent on both gene number N and high level gene number h. We use both straight line function predicate and S-function predicate. We get shift type inference solution for straight line function predicate. We find that shift quantity is larger for the inference solution of S-function predicate than that of straight line predicate.
