Generally, various approaches, like optimization, stabilization, adaptation and so on, can be taken to solve a control problem. Thus, there exist several kinds of algorithms to solve a certain problem and each algorithm's characteristics depend on the approach to be taken. In the case that these algorithms are applied to practical system problems, it is necessary to examine the algorithms' effectiveness and select a suitable one among usable algorithms.
On the other hand, in a man-machine system, a human operator occasionally selects the better one by use of his experimental know-how or a priori information. But it is very difficult for the operator to make a good decision continuously in a real time system.
In this paper, an on-line algorithm selection problem is considered. Firstly, the algorithm selection process is formulated as a fuzzy decision-making problem and a fuzzy algorithm selection method is proposed. If-then type rules are used to reason the effectiveness of the algorithms. A priori information and know-how is utilized in the reasoning rules. Secondly, this method is applied to the guidance and control problem in a command and control system. Finally, simulation is conducted to evaluate the effectiveness of the proposed method.