Comparing the logarithmic least square and eigen value methods in analytic hierarch process by using the best job example.

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dc.creatorRevocatus, Ponsian
dc.date2019-08-18T12:09:30Z
dc.date2019-08-18T12:09:30Z
dc.date2016
dc.date.accessioned2021-05-06T12:58:59Z
dc.date.available2021-05-06T12:58:59Z
dc.descriptionDissertation (MSc Mathematics)
dc.descriptionThis dissertation centers on comparing two methods based on consistence and ranking preservation of alternatives in analytic hierarchy process (AHP) by using the best job example. These two methods logarithmic least square method (LLSM) and eigenvalue method (EM) are used to develop approximations of ratio scales from a positive reciprocal matrix. The measurement of consistency and rank preservation are the main criteria for comparison of these two methods. The priorities obtained for each method from the combination of the comparison matrices for all criteria with respect to all alternatives, the ranking of the alternatives were given against the four covering criteria, the results show that, the two methods namely LLSM and EM give different results on ranking the alternatives as shown by Saaty and Vargas(1984).
dc.identifierRevocatus, P. (2016). Comparing the logarithmic least square and eigen value methods in analytic hierarch process by using the best job example. Dodoma: The University of Dodoma
dc.identifierhttp://hdl.handle.net/20.500.12661/819
dc.identifier.urihttp://hdl.handle.net/20.500.12661/819
dc.publisherThe University of Dodoma
dc.subjectLogarithmic least square methods
dc.subjectAnalytic hierarchy process
dc.subjectAnalytic hierarchy process application
dc.subjectComparison logarithmic eigenvalue methods
dc.subjectEM
dc.subjectAHP
dc.subjectEigenvalue Methods
dc.subjectLLSM
dc.subjectLogarithmic Least Square Methods
dc.titleComparing the logarithmic least square and eigen value methods in analytic hierarch process by using the best job example.
dc.typeDissertation

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