Title :
Identification of fuzzy relation systems
Author :
Higashi, Masatake ; Klir, G.J.
Author_Institution :
Dept. of Biophys., Univ. of Kyoto, Kyoto, Japan
Abstract :
The identification problem for systems with fuzzy relations is solved by applying a general method of solving finite fuzzy relation equations. It is shown that the identification uncertainty is characterized in terms of the maximum solution and the infimum of all the minimal solutions. The result is independent of the function used to define the uncertainty measure. A method for calculating the infimum of all the minimal solutions without calculating these minimal solutions is also derived and results in an efficient method for calculating the identification uncertainty.
Keywords :
fuzzy set theory; identification; systems analysis; finite fuzzy relation equations; fuzzy relation systems; identification; infimum; maximum solution; minimal solutions; uncertainty; Additives; Cybernetics; Equations; Finite element methods; Mathematical model; Measurement uncertainty; Uncertainty;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMC.1984.6313224