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Kazibudzki, P. T. (2013). On some discoveries in the field of scientific methods for management within the concept of analytic hierarchy process. International Journal of Business and Management, 8(8), 22–30. 
Added by: Klaus-admin (05 Oct 2019 17:32:00 Asia/Singapore)   
Resource type: Journal Article
DOI: 10.5539/ijbm.v8n8p22
BibTeX citation key: Kazibudzki2013
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Categories: General
Keywords: AHP, Analytic Hierarchy Process (AHP), eigenvalue, eigenvector method (EVM), geometric mean, geometric mean method
Creators: Kazibudzki
Collection: International Journal of Business and Management
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The Analytic Hierarchy Process (AHP), the multicriteria decisions making support methodology widely recognized and accepted as the prioritization and choice theory may deliver different answers for a decisional problem, providing various rankings of its alternative solutions. The variety in priorities order exists because there are many methods that can be successfully implemented within the AHP, although its inventor, Thomas Saaty strives to convince researchers that there is only one i.e. principal right eigenvector method (REV) created alongside. Facts tell us however, that REV has some drawbacks and few flaws. The research described in this paper reveals some important discoveries within this field due to application of novel scenario for computer simulations concerning the entire AHP framework (contrary to single matrix simulation results). Statistically significant findings convince that REV concedes other methods being under study what authorize to claim that from the perspective of this research, as long as reciprocal pairwise comparison matrices are considered (condition embedded in the AHP), it should not be perceived as the dominant method
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