The Analytic Hierarchy & the Analytic Network Processes in Multicriteria Decision Making: A Comparative Study
Date of Award
Spring 2006
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Engineering Management & Systems Engineering
Program/Concentration
Engineering Management
Committee Director
Rafeal E. Landaeta
Committee Member
Resit Unal
Committee Member
Gaith Rabadi
Call Number for Print
Special Collections LD4331.E555 T37 2006
Abstract
The objective of this investigation is to identify the critical benefits and factors of decision making models in a changing technological environment. Decision making models are helping tools for the managers or decision makers to make future plans by using qualitative or quantitative data. In this research, a general idea about decision making models and, comparison between the two important models, the Analytical Hierarchy Process (AHP) and the Analytical Network Process (ANP), are introduced. The research was done by using the information in the literature and expert judgment. This paper can be used by academics as a foundation for further research and development in the area of decision making models. Managers can use this paper for choosing the right decision making method in a variety of constraints, such as time, budget, human resources etc. Also it can be used for further development in establishing standard operational decision making procedures in crisis situations.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
DOI
10.25777/h78h-8v07
Recommended Citation
Taslicali, Ali K..
"The Analytic Hierarchy & the Analytic Network Processes in Multicriteria Decision Making: A Comparative Study"
(2006). Master of Science (MS), Thesis, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/h78h-8v07
https://digitalcommons.odu.edu/emse_etds/203