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Issue title: Special section: Decision Making Using Intelligent and Fuzzy Techniques
Guest editors: Cengiz Kahraman
Article type: Research Article
Authors: Ucal Sari, Irema; * | Sergi, Duygub | Aytore, Canc
Affiliations: [a] Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey | [b] Department of Industrial Engineering, MEF University, Ayazaga, Istanbul, Turkey | [c] Department of Industrial Engineering, Bogazici University, Bebek, Istanbul, Turkey
Correspondence: [*] Corresponding author. Irem Ucal Sari, Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey. E-mail: [email protected].
Abstract: Fundraising is one of the most critical issues for non-governmental organizations (NGOs) to carry out their projects. In this paper, a search engine project which aims to find additional financial sources and increase donations for NGOs is proposed. The proposed search engine project is analyzed using fuzzy cognitive maps (FCMs) to define and manage factor influences on the success of the project. FCMs are useful tools to define long term effects of important factors for a system. First casual relations of the factors are determined and then using sigmoid function for learning algorithm, the equilibrium state for the system is obtained. It is found that the factors generating monetary values are the most important ones for the project to be successful in long term.
Keywords: Fuzzy cognitive maps, fundraising, non-governmental organizations
DOI: 10.3233/JIFS-189092
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6231-6243, 2020
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