METE EMİNAĞAOĞLUYılmaz GÖKŞENONUR DOĞANEminağaoğlu, MeteGökşen, YılmazDoğan, Onur2025-10-2220121. F. M. McNeill and E. Thro Fuzzy Logic A Practical Approach Academic Press USA 1994.2. M. Sugeno and T. Yasukawa A fuzzy-logic-based approach to qualitative modeling IEEE Transactions on Fuzzy Systems 1 1 7-31 1993.3. H.-J. Zimmermann Fuzzy Set Theory and Its Applications 4th ed. Kluwer Academic Publishers USA 2001.4. M. Güneş and N. Umarusman Bir karar destek aracı bulanık hedef programlama ve yerel yönetimlerde vergi optimizasyonu uygulaması Review of Social Economic & Business Studies 2 242-255 2003.5. J. H. T. Bates and M. P. Young Applying fuzzy logic to medical decision making in the intensive care unit American Journal of Respiratory and Critical Care Medicine 167 948-952 2003.6. J. Harris Fuzzy Logic Applications in Engineering Science Springer-Verlag Netherlands 2006.7. Y. Gökşen O. Doğan and K. Yaralıoğlu Adapting game theory for 2009 local elections: İzmir provincial application Ege Academic Review 9 4 1225-1241 2009.8. M. A. Aydın Milletvekili adaylarının belirlenme usülü ve önseçim Yasama Dergisi 5 82-108 2007.9. T.B.M.M. Siyasi Partiler Kanunu Resmi Gazete 18027 1-40 1983.10. Adalet ve Kalkınma Partisi AK Parti Tüzüğü Turkey 2006.11. L. A. Zadeh Fuzzy Sets Information and Control 8 338-353 1965.12. N. Nedjah and L. M. Mourelle Fuzzy Systems Engineering: Theory and Practice Springer-Verlag Netherlands 2005.13. W. Siler and J. J. Buckley Fuzzy Expert Systems and Reasoning John Wiley & Sons USA 2005.14. N. Baykal and T. Beyan Bulanık Mantık İlke ve Temelleri Bıçaklar Yayınevi Turkey 2004.15. K. Tanaka An Introduction to Fuzzy Logic for Practical Applications Rassel Inc. USA 1997.16. M. Güneş and N. Umarusman Fuzzy goal programming approach on computation of the fuzzy arithmetic mean Mathematical and Computational Applications 10 2 211-220 2005.1300-686X2297-874710.3390/mca170201522-s2.0-84859379143https://gcris.yasar.edu.tr/handle/123456789/11237https://search.trdizin.gov.tr/en/yayin/detay/129953https://doi.org/10.3390/mca17020152Classical logic and classical set theorems are not sufficient enough when it isnecessary to deal with complex decision making problems which also involve humanexperiences. Some researches suggest that senior management usually makes intuitivedecisions in the process of selecting the candidates in political parties which brings outthe need to derive a new efficient robust and applicable method.In this study the qualitative characteristics and their significance level which could beused for the candidate selection process in political parties are determined. Thecandidate selection process consisting vague inputs is analyzed by fuzzy logicmethodology and a quantitative final score has been determined for the candidate. It hasbeen shown that the model provided some realistic and promising results which couldenable further studies to derive more optimized and enhanced models for similarpurposes.İngilizceinfo:eu-repo/semantics/openAccessBilgisayar Bilimleri- Yazılım Mühendisliği-Matematik-Bilgisayar Bilimleri- Teori ve MetotlarMatematikBilgisayar Bilimleri, Teori Ve MetotlarCandidate Selection ProcessFuzzy LogicBilgisayar Bilimleri, Yazılım MühendisliğiCentroid MethodPolitical PartiesArticle