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我正在为 FL 项目使用 jFuzzyLogic 库。

我创建了一个 FCL 文件，其中包含三个变量，服务、房间和食物。

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（这些规则并不详尽）：

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

最终输出是以下集合：

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，根据不同类型的人的输入，应该分配不同的权重。例如，当一个商人给一个房间打分（5/10）而一个家庭给一个房间打分（5/10）时，输出不应该是相同的，我需要能够有如下规则：

  • 如果它是一个家庭成员，而且房间很差，那么 trustWeight 会更小
  • 如果是商人，而且房间很差，那么信任度就很高

根据人的类型（和其他固定因素），我应该能够得到不同的 TrustWeight 结果。

这有可能做到吗？如果是这样，我该怎么做？

4

1 回答 1

1

我会添加另一个输入人员：

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;
于 2015-02-05T14:23:51.427 回答