International Scholarly Research Notices

Research Article

A Note on Hypertension Classification Scheme and Soft Computing Decision Making System

Algorithm 1

(I)    Initial fuzzification mechanism
     BEGIN
   (1) Input-Fuzzy system with suitable “ ” parameters
   (2) Initialize
     DO UNTIL ( )
     Categorize fuzzy sets in linguistic variables
     DO UNTIL ( )
   (1) Construction of suitable membership function
   (2) Increment
     END DO UNTIL
     Increment
     END
(II)  Construction of Fuzzy Strings
     BEGIN
  (1) Input: “ ” fuzzy sets in linguistic variables
      ; , and
   (2) Input: output parameters , .
   (3) Develop linguistic strings ;
     using AND operation on each linguistic term ;
   (4) Initialize
     DO UNTIL ( )
     Increment
     END DO UNTIL
     Increment
     END
(III)   Output Evaluation
     BEGIN
   (1) Construct Utility matrix of pxq order.
   (2) Construct utility fuzzy sets ;   
      using for each
   (3) Initialize
     DO UNTIL ( )
   (4) Construct maximizing sets ,
     corresponding to each alternative.
   (5) Develop optimal fuzzy utility sets , .   
     Each optimal fuzzy set is obtained by fuzzy
     intersection ⋀ on fuzzy utility set and maximizing
     set such that
      for each utility value .
   (6) Take maximum membership value from each optimal utility fuzzy set.
   (7) The optimal alternative with corresponding maximum
     membership grades obtained in step 10 such as
      for .
     END DO UNTIL
     Increment
     END