Master Dissertations

Permanent URI for this collection

http://192.168.18.118:4000/handle/20.500.12661/398

Browse

Browsing Master Dissertations by Subject "Analytic Hierarchy Process"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    A survey of Analytic Hierarchy Process (AHP).
    (The University of Dodoma, 2016) Mpumbiye, Bahati C.
    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), Eigen value 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.
  • Thumbnail Image
    Item
    Weights and ranks of causes of road accidents using Analytic Hierarchy Process (AHP) in Dodoma region
    (The University of Dodoma, 2015) Omar, Said Hamad
    The study of weights and ranks of causes of road accidents using Analytic Hierarchy Process (AHP) in Dodoma region has been conducted in order to provide a broad understanding to the seriousness of problem of Road Accidents in Tanzania. Since the problem of road accidents in Tanzania is highly increasing year after year, various preventive measures have been taken to reduce the rate of road accidents. Thus it is important to understand the actual causes which have high contribution to the road accidents. The main objective of this study is to propose weights and ranks of six selected causes with respect to five categories of motor vehicles associated with road traffic accidents in Tanzania. The five categories of motor vehicles are Lorries, Short Distance Passenger vehicles, Long Distance Passenger vehicles, Private Cars and Motorcycles while the selected causes are over speeding, reckless driving, Proper Use of Light during darkness, Adverse Road Conditions, Drivers‟ Behaviour and Drivers‟ Knowledge. Analytic Hierarchal procedure (AHP) is used as an analyzing tool. Through AHP questionnaire, data were collected from five experienced persons (experts) in road accident analysis. The experts rate the pair-wise comparison in measurement scale from one to five. The comparison scales were analyzed to compute the weights of road accident causes. The results of the study revealed that over speeding which means driving faster than limited speed is ranked as the highest cause in road accidents contribution with the weights 0.2905 followed by reckless driving (with weights 0.2812) while Adverse Road Condition is ranked as the lowest among the six selected road accident causes in this study.