Abstract:
Somalia has been in turmoil since the fall of the central government at the end of the 20th century, but since recent times there have some promising change taking place in the country. During the looting and the chaos much of Somali’s infrastructure has been destroyed. Electrical grid lines operated by the government which was the heart of power distribution has been either destroyed or looted for parts. The Energy sector of Somalia has long been neglected and it is dominated by private companies. In the last decade more and more outside investment particularly governments have been coming into the country. The European Union and the World Bank have proposed several different projects for improving the electrical generation and distribution of the Somalia. They hope that if these projects or ones like them are implemented, they could bring significant improvements to the energy sector. In this thesis, using multi criteria decision making (MCDM) methods, the projects are evaluated through several different criterions mainly the costs of these projects. MCDM methods like VIKOR, TOPSIS, WSM and AHP are used in this thesis to find the best method to use for such daunting tasks. Multi criteria decision making methods have time and again being proven to be helpful to sort out different alternatives and give clear decision. But when the problem gets complex and the decision makers are getting more and more MCDM methods have some shortcoming to provide a clear answer. In this thesis a new and easy system is presented to improve these shortcomings in the multi criteria decision making techniques giving them clear and unbiased data. With the help of this new system complex data can be broken down into easy ones that the MCDM methods could easily navigate through and present strong argument.
