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

Revocatus, Ponsian

dc.creator	Revocatus, Ponsian
dc.date	2019-08-18T12:09:30Z
dc.date	2019-08-18T12:09:30Z
dc.date	2016
dc.date.accessioned	2021-05-06T12:58:59Z
dc.date.available	2021-05-06T12:58:59Z
dc.identifier	Revocatus, 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.identifier	http://hdl.handle.net/20.500.12661/819
dc.identifier.uri	http://hdl.handle.net/20.500.12661/819
dc.description	Dissertation (MSc Mathematics)
dc.description	This 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.publisher	The University of Dodoma
dc.subject	Logarithmic least square methods
dc.subject	Analytic hierarchy process
dc.subject	Analytic hierarchy process application
dc.subject	Comparison logarithmic eigenvalue methods
dc.subject	EM
dc.subject	AHP
dc.subject	Eigenvalue Methods
dc.subject	LLSM
dc.subject	Logarithmic Least Square Methods
dc.title	Comparing the logarithmic least square and eigen value methods in analytic hierarch process by using the best job example.
dc.type	Dissertation