The Analytic Hierarchy Process: Planning, Priority Setting, Resource AllocationMcGraw-Hill International Book Company, 1980 - 287 páginas |
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Página 214
... example , and 33 for the elements and 4 for the components in the second example , are not given except for these last 4 . The supermatrix is then developed in two stages . First the blocks of eigenvec- tors are filled . After ...
... example , and 33 for the elements and 4 for the components in the second example , are not given except for these last 4 . The supermatrix is then developed in two stages . First the blocks of eigenvec- tors are filled . After ...
Página 215
... Example Our first example is about child upbringing . A child comes under the influence of a number of forces in his early years . We would like to establish priorities for these influences . As there is feedback in the interaction of ...
... Example Our first example is about child upbringing . A child comes under the influence of a number of forces in his early years . We would like to establish priorities for these influences . As there is feedback in the interaction of ...
Página 283
... example , 117 Brightness , 18 Brouwer's fixed point theorem , 173 Cardinal consistency , 167 Cardinal utility , 225 Chair illumination example , 233 Characteristic equation , 258 Chess , 15 Child upbringing example , 215 Chi - square ...
... example , 117 Brightness , 18 Brouwer's fixed point theorem , 173 Cardinal consistency , 167 Cardinal utility , 225 Chair illumination example , 233 Characteristic equation , 258 Chess , 15 Child upbringing example , 215 Chi - square ...
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