Novel Applications of Intuitionistic Fuzzy Digraphs in Decision Support Systems

Algorithm 1

IF neurons in medical diagnosis.

(1) void diagnoseDisease() {

(2)  𝑅 = Patient symptoms;

(3)  𝑄 = Relation between disease and symptoms;

(4)  𝑇=𝑄∘𝑅;

(5)  𝑆_max=0;

(6)  𝑐𝑜𝑢𝑛𝑡𝐷𝑖𝑠𝑒𝑎𝑠𝑒=𝑇.height;

(7)  for (int 𝑖=0;𝑖≤𝑐𝑜𝑢𝑛𝑡𝐷𝑖𝑠𝑒𝑎𝑠𝑒; 𝑖++) {

(8)   𝑆_𝑖=𝜇𝑖−𝜈𝑖∗𝜋𝑖;

(9)   if (𝑆_max == 𝑆_𝑖) {

(10)    if (degree of hesitation of 𝑆_max⩽ degree of hesitation of 𝑆_𝑖){

(11)     𝑆_max=𝑆_𝑖;

(12)     Diagnose = disease;

(13)    }

(14)   } else if (𝑆_max⩽𝑆_𝑖) {

(15)    𝑆_max=𝑆_𝑖;

(16)    Diagnose = disease;

(17)   }

(18)  }

(19)  print diagnose;

(20)  if (diagnose is not accepted by the doctor) {

(21)   Modify 𝑄;

(22)   diagnoseDisease();

(23)  }

(24) }