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

Simple item page
dc.contributor.authorRevocatus, Ponsian
dc.date.accessioned2019-08-18T12:09:30Z
dc.date.available2019-08-18T12:09:30Z
dc.date.issued2016
dc.descriptionDissertation (MSc Mathematics)en_US
dc.description.abstractThis 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).en_US
dc.identifier.citationRevocatus, 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 Dodomaen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12661/819
dc.publisherThe University of Dodomaen_US
dc.subjectLogarithmic least square methodsen_US
dc.subjectAnalytic hierarchy processen_US
dc.subjectAnalytic hierarchy process applicationen_US
dc.subjectComparison logarithmic eigenvalue methodsen_US
dc.subjectEMen_US
dc.subjectAHPen_US
dc.subjectEigenvalue Methodsen_US
dc.subjectLLSMen_US
dc.subjectLogarithmic Least Square Methodsen_US
dc.titleComparing the logarithmic least square and eigen value methods in analytic hierarch process by using the best job example.en_US
dc.typeDissertationen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
PONSIAN REVOCATUS.pdf
Size:
302.25 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Master Dissertations