CODEWITHSUNDEEP
javafuzzy-logicjfuzzylogic
Kripa Jayakumar
Kripa Jayakumar

Reputation: 891

In fuzzy logic, how can I add membership functions for different perspectives?

I am using jFuzzyLogic library for a FL project.

I have created a FCL file that has three variables, service, room and 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

I also have two rules (these are not exhaustive) that are : 

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

The final output is of the following set: 

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

My logic is that based on the input from different types of people, different weights should be allocated. For example when a businessman rates a room(5/10) and a familyman rates a room(5/10), the output shouldn't be the same I need to be able to have rules that's like the following:

Based on the type of person (and other fixed factors) I should be able to get differentTrustWeight results.

Is this possible to be done? If so, how can I do it?

Upvotes: 0

Views: 506

Answers (1)

mirco
mirco

Reputation: 55

I would add another input person:

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

and the necessary rules:

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

Upvotes: 1

Related Questions