Fuzzy conditional statements-an alternative approach for data representation

We present an alternative method to data knowledge representation by using fuzzy conditional statements. The main idea of the proposed methodology is to group together load data in flexible structures which can then be used by conventional or intelligent programs, as well as by power system operators directly. The algorithm to obtain the fuzzy conditional statements is presented together with an example that uses real data for a power system

[1]  B. Valiquette,et al.  A fuzzy knowledge-based system for bus load forecasting , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[2]  J. Goguen L-fuzzy sets , 1967 .

[3]  James A. Momoh,et al.  Overview and literature survey of fuzzy set theory in power systems , 1995 .

[4]  M. Sugeno,et al.  Multi-dimensional fuzzy reasoning , 1983 .

[5]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  D. Mukhedkar,et al.  ON-LINE FUZZY RULE SET GENERATOR , 1989 .

[7]  James J. Buckley,et al.  Fuzzy neural network with fuzzy signals and weights , 1993, Int. J. Intell. Syst..

[8]  Isao Hayashi,et al.  NN-driven fuzzy reasoning , 1991, Int. J. Approx. Reason..