By combining model structure analysis based on singular value decomposition and fuzzy statistical information criteria, an optimal fuzzy cluster in the input space can be realized, and an optimal fuzzy inference system is attained.

This paper proposes a novel iterative approach for fuzzy model construction optimization or simplification, which includes fuzzy statistical information criteria (FSIC), fuzzy model structure analysis based on singular value decomposition and QR decomposition(SVD QR),redundant or less important rule elimination,compatible rule merging and consequent para.

The reliability on the basis of fuzzy design criterion is always bigger than neglecting fuzzy character,therefore the designed machine parts have even smaller size,lighter weight,and can much closer to engineering objective reality.

Research on Portfolio Selection with Probability Criterion and Fuzzy Criterion;

This paper first provides a brief introduction to the economic, probability and fuzzy criterion models in multistage decision processes,especially in inventory process and reservoir operation.

Algebraic structure and reduction of fuzzy information systems;

Knowledge reduction method for fuzzy information systems based on discernibility function;

The Research and Application of Fuzzy Information Systems Based on Rough Set and Inclusion Degree;