A Survey Of Analytic Hierarchy Process (Ahp)

ABSTRACT

The purpose of this dissertation is to survey Analytic Hierarchy Process (AHP) as the

tool used in decision making. The decision making process involves evaluating

alternatives or criterion by selecting the best option. The AHP is the decision making

technique which involves both subjective human judgments and objective evaluation

merely by Eigen vector and then examines the consistency of the evaluation by Eigen

Value. In this dissertation we have shown in details methods of AHP and how are they

being used to determine the priorities of preferences of decision makers. The methods

explained in this dissertation are Sum Method (SM), Eigenvalue Method (EM), and

Geometric mean (GM) which sometimes is known as the Logarithmic Least Square

Method (LLSM). Furthermore we have explained the significant of the AHP in decision

making process and we have shown how it is an appropriate tool to address the

prioritization problem in order to make better decisions in various fields by showing the

use of qualitative and quantitative criteria in evaluation. For more elaboration of the

AHP, we have used some examples found in literature reviews used by other researchers

in order to determine the priorities and lastly we have used an example of selecting the

best smart mobile phone from four alternatives. The data used in this example of

selecting smart mobile phones were obtained by collecting data from customers who

possess and who are familiar with the smart mobile phones. So the AHP helps decision

makers choose the best product from several options. The dissertation also surveys

LLSM, EM and SM by checking their similarity or different in ranking the alternatives

and checking whether they can results either the same or the different priority weights.