A survey of fuzzy interpolation techniques
نویسندگان
چکیده
The original idea of reasoning and control within fuzzy rule bases was proposed by Zadeh [1], and was called the Compositional Rule of Inference (CRI) and had the disadvantage of running directly in the k-dimensional input space (where k is the number of variables) while being able however to describe multi-dimensional membership function distributions of arbitrary shape. Its modified version, the Mamdani-algorithm [2] applied the projections of the antecedents and thus
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