The Analytic Hierarchy Process: Planning, Priority Setting, Resource AllocationMcGraw-Hill International Book Company, 1980 - 287 páginas |
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Página 27
... criteria and the schools with respect to each criterion are as indicated along each line segment in the figure , then Overall rank of school A = aLL + aFF + asS + a , V + acC + аμM Overall rank of school B = b1L + bƑF + bsS + byV + bcC ...
... criteria and the schools with respect to each criterion are as indicated along each line segment in the figure , then Overall rank of school A = aLL + aFF + asS + a , V + acC + аμM Overall rank of school B = b1L + bƑF + bsS + byV + bcC ...
Página 33
... criteria with respect to short and long - range efforts , risks and benefits , and also make a pairwise compari- son ... criteria that influence the behavior of the problem . ( 4 ) Structure a hierarchy of the criteria , sub ...
... criteria with respect to short and long - range efforts , risks and benefits , and also make a pairwise compari- son ... criteria that influence the behavior of the problem . ( 4 ) Structure a hierarchy of the criteria , sub ...
Página 162
... criteria . Our first concern is the choice of issues relevant to candidacy . Candidates ' position on these issues form criteria for evaluation . The set of issues can be arbitrary , but some are undoubtedly more widely accepted as ...
... criteria . Our first concern is the choice of issues relevant to candidacy . Candidates ' position on these issues form criteria for evaluation . The set of issues can be arbitrary , but some are undoubtedly more widely accepted as ...
Contenido
PART ONE THE ANALYTIC HIERARCHY PROCESS | 1 |
A formal approach | 4 |
Instructive examples | 37 |
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 activities allocation alternatives Amax analysis Analytic Hierarchy Process applications approach b₁ binary matrix C₁ clusters coefficients column vector compared complete graph components composite consistency corresponding cost criteria D₁ decision defined denote derived determine diagonal directed graph dominance edges eigenvalue problem elements entries equal equation estimate example factors given gives goal graph hence hierarchy level impact importance influence irreducible judgments least squares left eigenvector linear mathematical measurement method Multidimensional Scaling multiple nonnegative normalized Note objectives obtain outcome overall pairwise comparison pairwise comparison matrix perturbation positive primitive matrix priority vector PROOF rank ratio scale reciprocal matrix relations relative respect result right eigenvector root mean square row sums scenario solution stochastic matrix structure Sudan supermatrix Table Theorem theory unity utility function v₁ variables vertex vertices w₁ weights zero