Optimizing the CRI method by improving the implication step in MISO fuzzy expert systems

Tác giả: Vo T.P.

Abstract: In conventional MISO fuzzy expert systems, the implication step requires the excessive operations and spatial complexity using compositional rule based inference (CRI). This paper proposes a novel method, sort compositional rule-based inference (SCRI) aimed at reducing both temporal and spatial complexity by changing the implication step. It shows the advanced SCRI in MISO fuzzy systems. We also propose a divide-and-conquer technique, called Quicksort, to verify the accuracy of SCRI deployment to easily outperform the CRI method.