Question

我正在为FL项目使用jFuzzyLogic库。

我创建了一个包含三个变量的FCL文件：service，room和food。

FUZZIFY food
    TERM bad := (0, 1) (4, 0) ; 
    TERM good := (1, 0) (4,1) (6,1) (9,0);
    TERM excellent := (6, 0) (9, 1);
END_FUZZIFY

FUZZIFY service
    TERM poor := (0, 1) (4, 0) ; 
    TERM good := (1, 0) (4,1) (6,1) (9,0);
    TERM excellent := (6, 0) (9, 1);
END_FUZZIFY

FUZZIFY room
    TERM poor := (0, 1) (4, 0) ; 
    TERM good := (1, 0) (4,1) (6,1) (9,0);
    TERM excellent := (6, 0) (9, 1);
END_FUZZIFY

我还有两条规则（这些并非详尽无遗）：

RULEBLOCK rules
    AND : MIN;          // Use 'min' for 'and' (also implicit use 'max' for 'or' to fulfill DeMorgan's Law)
    ACT : MIN;          // Use 'min' activation method
    ACCU : MAX;         // Use 'max' accumulation method

    RULE 1 : IF food IS bad OR service IS poor OR room IS poor THEN trustWeight IS less;
    RULE 2 : IF food IS excellent OR service IS excellent OR room IS excellent THEN trustWeight IS high;

END_RULEBLOCK

最终输出如下：

DEFUZZIFY trustWeight
    TERM less := (0,0) (0.25,1) (0.5,0);
    TERM high := (0.5,0) (0.75,1) (1,0);
    METHOD : COG;       // Use 'Center Of Gravity' defuzzification method
    DEFAULT := 0;       // Default value is 0 (if no rule activates defuzzifier)
END_DEFUZZIFY

我的逻辑是，根据不同类型人的输入，应分配不同的权重。例如，当一个商人评价一个房间（5/10）并且一个家庭成员评价房间（5/10）时，输出不应该是相同的我需要能够制定如下规则：

如果它是一个家庭成员，并且房间不好，那么trustWeight则不那么
如果是商人，房间不好那么信任度很高

根据人的类型（以及其他固定因素），我应该能够获得不同的信任量结果。

这可能吗？如果是这样，我该怎么做？

Answer 1

我会添加另一个输入人：

FUZZIFY person
  TERM family := 1;
  TERM business := 2;
END_FUZZIFY

和必要的规则：

RULE 3 : IF person IS business THEN trustWeight IS high;
RULE 4 : IF person IS family THEN trustWeight IS less;

在模糊逻辑中，如何为不同的视角添加成员函数？

1 个答案: