Hasan, D.Sağbaş, AysunÇapraz, Ozan2022-05-112022-05-112014https://hdl.handle.net/20.500.11776/6472Computer and Industrial Engineering;et al.;Gaziantep University;Istanbul Commercial University;Journal of Intelligent Manufacturing Systems;Sakarya University, Department of Industrial EngineeringJoint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2014 -- 14 October 2014 through 16 October 2014 -- -- 110500Today, renewable energy sources such as hydropower, biomass, geothermal, solar and wind play a major role in meeting the energy requirements in terms of economics and politics aspects for any country. The selection of the optimum renewable energy source provides guidelines to practitioners for sustainable planning of local, national, regional and global energy systems. The selection process is a multi-criteria decision making problem and requires taking into account social, technological, economic, environmental, and political aspects. In this study, a decision support system consisting of combined Fuzzy Cognitive Mapping (FCM) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methodology is proposed for the planning of national renewable energy investments of the developing countries. FCM draws cognitive maps which intend to model the different aspects of the behavior of complex systems. Therefore, FCM method is applied to explore and prioritize the critical factors which are likely to influence renewable energy investment decisions. Also, several maps obtained from the experts who have diverse backgrounds in the public and private sectors are integrated into a map. Then, TOPSIS method is applied to rank renewable energy alternatives and select best one. In order to demonstrate the usefulness of the proposed methodology, an illustrated example of Turkey is performed.eninfo:eu-repo/semantics/closedAccessDecision support systemFuzzy cognitive mappingRenewable energyTopsisArtificial intelligenceCognitive systemsDecision makingDecision support systemsDeveloping countriesEconomicsEnergy policyGeothermal energyLarge scale systemsManufactureMappingNatural resourcesRenewable energy resourcesSustainable developmentFuzzy cognitive mappingsMulti-criteria decision making problemsPublic and private sectorRenewable energiesRenewable energy investmentsRenewable energy sourceTechnique for order preference by similarity to ideal solutionsTopsisInvestmentsConference Object169317052-s2.0-84923886583