By W. B. Vasantha Kandasamy, Florentin Smarandache, K. Ilanthenral

Regularly any real-world challenge isn't continuously solvable, simply because in that not just a percent of uncertainty is current, but additionally, a undeniable percent of indeterminacy is current. The presence of uncertainty has been analyzed utilizing fuzzy common sense. during this ebook the quantity of indeterminacy is being analyzed utilizing neutrosophic common sense. every one of these versions use the idea that of matrices. Matrices have definite obstacle; whilst the types are time-dependent and any specialists’ evaluations are being studied concurrently, one can't evaluate either one of them at every one degree. the hot suggestion of bimatrices would definitely cater to those wishes. A bimatrix AB = A1 U B2, the place A1 and A2 are designated matrices of arbitrary order. This e-book introduces the concept that of bimatrices, and reports a number of notions like bieigen values, bieigen vectors, attribute bipolynomials, bitransformations, bioperators and bidiagonalization. extra, we introduce and discover the recommendations like fuzzy bimatrices, neutrosophic bimatrices and fuzzy neutrosophic bimatrices, so as to locate its program in fuzzy and neutrosophic logics.

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**Example text**

2 a 35 The complementary biminor is PB Hence ( ∑ i1k + j1k , a121 a123 = a141 a143 a151 a153 ∑i 2 k a124 a 221 a 223 a144 ∪ a 241 a 243 2 2 a154 a 51 a 53 a 224 a 244 . 2 a 54 + j2k ) = (2 + 5+1+3 = 1, 2 + 5 + 1 + 3 = 11) and the complementary bicofactor is M B = − PB . These method lead us to derive a new method of expanding the bideterminant of |AB|. Select any m rows of AB = A1 ∪ A2. From these m rows we can form (n! / m! /m! /m! /m! (n – m)! ) defines the number of combinations of n columns of the pair of matrices A1 and A2 of AB taken m at a time.

And 2 2 2 a11 a 22 a nn has a plus sign. Next we shall consider the m × m subbimatrix formed from rows ( i11 , i12 ,… ,i1m ) and ( i12 , i 22 ,… ,i 2m ) and columns j11 , j12 ,… , j1m and j12 , j22 , , j2m . Except for the sign the expansion of |AB| will contain the product of the bideterminant of this subbimatrix and the determinant of the subbimatrix formed by crossing out rows 1 1 1 1 1 1 2 2 2 ( i1 , i2 , ,im ) and ( i1 , i2 , ,im ) and columns j1 , j2 ,…, jm and j12 , j22 , , j2m . The sign of the product is determined by the method used in the expansion of bicofactors.

Now we can also have skew symmetric bimatrices when the bimatrix is a mixed one. Let AB = A1m×m ∪ A 2n×n be a square mixed bimatrix, AB is said to be a skew symmetric bimatrix if A m×m = − ( A m×m ) ' and ( A n×n ) = − ( A n×n ) ' we denote this 1 1 2 2 by AB = – A'B. Clearly AB is a skew symmetric bimatrix. The number of elements in a skew symmetric bimatrix is m(m –1) + n(n – 1). The number elements in AB is 12 + 2 = 14. 5: Let ⎡0 6 1 ⎢ −6 0 −1 AB = ⎢ ⎢ −1 1 0 ⎢ ⎣ −2 −4 −3 2⎤ 4 ⎥⎥ ⎡ 0 −1⎤ ∪ ⎢ ⎥.