Neutrosophic Optimization and its Application on Structural Designs

Page 176

with T

  x , x   ,

n max

max

1

I n

2

max

  x , x   , max

1

2



F n

max

max

 x1 , x2   as the degree of truth,

n indeterminacy and falsity membership function of Neutrosophic set  max ;

n  max   max  x3 , x4  , T

with T



n max

max

n max

  x , x   , I   x , x   , F   x , x    max

 x3 , x4   ,

I n

max

3

4



max

n max

max

3

n max

4

max

3

4

(5.29)

 x3 , x4   , F  max  x3 , x4   as the degree of truth, n max

n indeterminacy and falsity membership function of Neutrosophic set  max ; and

n  max   max  x3 , x4  , T

with T

n max

n max

  x , x   , max

3

4

  x , x   , I   x , x   , F   x , x   max

3

n max

4

max

  x , x   ,

I n

max

max

3

4

3

F n

max

4

n max

max

  x , x   max

3

4

3

4

(5.30)

as the degree of truth,

n indeterminacy and falsity membership function of Neutrosophic set  max

5.1.3

Optimization of WBD in Neutrosophic Environment

To solve the WBD (P5.2) step 1 of sect.1.29 is used and we will get optimum solutions of two sub problem as X 1 and X 2 . After that according to step 2 we find upper and lower bound of

membership function of objective function as UCT  X  ,UCI  X  ,UCF X  and

LTC  X  , LIC  X  , LFC  X  where

     ,

U CT  X   max C X 1 , C X 2

(5.31)

     ,

LTC  X   min C X 1 , C X 2

(5.32)

Therefore

   U 

 

T T UCF X   UCT  X  , LFC  X   LTC  X    C  X  where 0   C  X   U C  X   LC  X 

LIC  X   LTC  X  ,U CI  X   LTC  X   C  X  where 0  C  X

for Model-I,II-BL,BN F T I UWT  UWT  UWT

  U

T F  LTWT LWT  LTWT  WT where 0  WT  UWT I LWT  LTWT  WT where 0  WT

T WT

 LTWT

 

Page 162

T C X

 LTC  X

(5.33) (5.34)


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