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A Model for Public Project Evaluation and Selection Based on Citizen Satisfaction

Alizadeh, Alireza | 2014

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 46435 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Kianfar, Fereydoon
  7. Abstract:
  8. Public projects are those projects that are run by public financial resources such as tax or other national governmental incomes. Selection of these projects is relatively difficult due to their importance, long life-time, and high costs. In most models developed in previous studies to select public projects, financial matters and risks are the only factors which were considered. However, the public projects should naturally be selected in a way that citizens’ benefits are maximized (in both short- and long-term) and citizens’ living level increases. In other words, public projects should be selected to increase citizens’ satisfaction. In this thesis, a model for public projects is presented based on citizens satisfaction .A four- phase model has been developed for this purpose. In the first phase, an algorithm is developed using the rough sets theory to determine citizens’ mentality model and citizens’ judgment tree. In phase II, a method is presented to determine service scopes of the public organizations to improve citizens’ satisfaction, based on group decisopn making. This method analyses the citizens’ judgment tree and the present status. In the third phase, potential public projects, are identified, they are categorized using rough set theory, and then the values of potential projects are estimated based on group decision-making technique.Finally, a zero_one integer programming model is developed to select the best projects to improve citizens’ satisfaction and other criteria such as profitability, Justice, etc. To test the applicability of the proposed models, Tehran municipality, as a public organization with many missions and duties, is selected as a case study
  9. Keywords:
  10. Project Selection ; Public Projects ; Group Decision Making Suport System (GDSS) ; Analytical Hierarchy Process (AHP) ; Citizen Satisfaction ; Rough Set Theory

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