A counting method.
If the fuzzy set is defined in the real number field R, the membership function of the fuzzy set is called fuzzy distribution. The so-called designee
The method is to choose some form of fuzzy distribution subjectively according to the nature of the problem, and then determine it according to the measured data.
The commonly used fuzzy distribution with parameters is shown in table 1.
In practice, choose the appropriate fuzzy distribution according to the description of the research object:
① Small size fuzzy distribution is generally suitable for describing small sizes such as "small, few, shallow, light, cold, sparse and young".
The degree of ambiguity.
② Large fuzzy distribution is generally suitable to describe "big, many, deep, thick, hot, dense and old".
The degree of ambiguity.
③ The middle fuzzy distribution is generally suitable for describing the image of "medium, moderate, not too much, not too little, not too deep, not too deep".
Too thick, warm, middle-aged and other vague phenomena are in the middle state.
However, the membership functions given in table 1 are all approximate, so it is necessary to analyze practical problems and revise them step by step when applying them.
Finally, the membership function with better approximation is obtained.