The Analytic Hierarchy Process: Planning, Priority Setting, Resource AllocationMcGraw-Hill International Book Company, 1980 - 287 páginas |
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Página 20
... note that these methods give different results for the general case where a matrix is not consistent . Let us now apply the different methods of estimating the solution to the chair example . Applying method ( 1 ) , the sum of the rows ...
... note that these methods give different results for the general case where a matrix is not consistent . Let us now apply the different methods of estimating the solution to the chair example . Applying method ( 1 ) , the sum of the rows ...
Página 96
... Note that reciprocal is a hyperbola Logarithmic growth up to a certain point and constant thereafter Exponential growth ( or decay if c2 is negative ) to a certain point and constant thereafter ( note reciprocal of case c2 is ...
... Note that reciprocal is a hyperbola Logarithmic growth up to a certain point and constant thereafter Exponential growth ( or decay if c2 is negative ) to a certain point and constant thereafter ( note reciprocal of case c2 is ...
Página 254
... Note that Al = IA = A. The inverse of A , if there is one , is a matrix A ̄1 such that AA - 1 = I. We have ( AB ) ̄1 = B ̄1A ̄1 and ( AB ) = BAT . Two matrices A and B are called orthogonal if AB = 0. The matrices AAT and AT A are ...
... Note that Al = IA = A. The inverse of A , if there is one , is a matrix A ̄1 such that AA - 1 = I. We have ( AB ) ̄1 = B ̄1A ̄1 and ( AB ) = BAT . Two matrices A and B are called orthogonal if AB = 0. The matrices AAT and AT A are ...
Contenido
PART ONE THE ANALYTIC HIERARCHY PROCESS | 1 |
Instructive examples | 37 |
Foundations and extensions | 49 |
Derechos de autor | |
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The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation Thomas L. Saaty Vista de fragmentos - 1990 |
Términos y frases comunes
a₁ a₁₁ activities actors allocation alternatives Amax analysis Analytic Hierarchy Process approach binary matrix C₁ clusters coefficients compared complete graph components composite considered consistency corresponding cost criteria defined Delphi method denote derived desired future diagonal directed graph dominance eigenvalue problem eigenvector elements entries equal equation estimate example forward process given gives goal graph hence hierarchy level impact importance influence irreducible judgments left eigenvector linear measurement method multiply nonnegative normalized objectives obtain outcome overall pairwise comparison perturbation policies positive preferred primitive matrix priority vector projects PROOF properties rank ratio scale reciprocal matrix relations relative respect result right eigenvector root mean square row sums scenario social solution stochastic matrix structure Sudan supermatrix Table theorem theory utility function v₁ variables vertex vertices w₁ w₁/w weights x₁ zero λ₁