def deNuutrosophicMatrix(self, matrix):
result = copy.deepcopy(matrix)
x = Ivns(0, 0, 0, 0, 0, 0)
for i in range(len(matrix)):
for j in range(len(matrix[0])):
result[i][j] = round(x.deNeutrosophic(matrix[i][j]), 3)
return result
def lambdamax(self, arr, w):
Rindex = [0, 0, 0, 0.58, 0.9, 1.12, 1.24, 1.32, 1.41, 1.45, 1.49]
sum = 0
x = Ivns(0, 0, 0, 0, 0, 0)
for i in range(len(arr)):
sum = sum + float(arr[i]) / x.deNeutrosophic(w[i])
result = sum / len(arr)
result = result - len(arr)
result = result / (len(arr) - 1)
result = result / Rindex[len(arr)]
result = round(result, 4)
return result