Information priority‐setting for better resource allocation using analytic hierarchy process (AHP)

2001 ◽  
Vol 9 (2) ◽  
pp. 61-70 ◽  
Author(s):  
Eddie W.L. Cheng ◽  
Heng Li
Author(s):  
Sadigh Raissi

Decide on the most efficient department could help university managers to conduct their decision in a proper manner especially in their resource allocation programs, encouraging decision support systems, quality metrics and so on. Different decision maker may use different information bases, unlike relative weights to their criteria and also different uncertainty levels in their expressions. They could utilize many quantitative or qualitative methods based on their knowledge and experiences. There is no unique and commonly accepted procedure to accomplish such decision properly. This paper tends to advise a systematic approach to handle such management problems. Through this paper readers will be familiar with a simple theory and easy of use method called Analytic Hierarchy Process (AHP), the way to compare different departments in a given university based on their commonly experts expression and a sample hierarchy structure for the such desired cases. This method called Fuzzy AHP and abbreviated FAHP later. In order of more warning to the prescribed efficient method, we avoided to deliver detail arithmetical calculations.


2021 ◽  
Vol 13 (4) ◽  
pp. 2254
Author(s):  
Zsuzsanna Katalin Szabo ◽  
Zsombor Szádoczki ◽  
Sándor Bozóki ◽  
Gabriela C. Stănciulescu ◽  
Dalma Szabo

Sustainability is one of the world’s fundamental objectives, and a wide variety of information types, parameters, and uncertainties need to be appraised and managed to assess it. In the present paper, Multi-Criteria Decision Analysis (MCDA) is used to prioritise the criteria of sustainable development based on regularly published indicators. In line with most approaches in the literature, the main criteria are Economy, Society and Environment. Complex criteria are decomposed into subcriteria until the performance with respect to them can be measured directly. Weights of importance are calculated by the Analytic Hierarchy Process (AHP), in decision support system PriEsT. The model is flexible to both the modification of criteria and re-weighting, and the PriEsT file is supplemented to the paper. Moreover, the results can also be applied in decisions on resource allocation. The proposed methodology has the potential of resulting in a new composite index to measure, compare or rank countries and regions regarding sustainable development or one of its subcriteria, as well as to track, year by year, the improvements or the impact of the policies introduced.


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