A proposed model for candidate selection process in political parties based on fuzzy logic methodology

Creative Commons License

GÖKŞEN Y., DOĞAN O., Eminaǧaoǧlu M.

Mathematical and Computational Applications, cilt.17, sa.2, ss.152-163, 2012 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 2
  • Basım Tarihi: 2012
  • Doi Numarası: 10.3390/mca17020152
  • Dergi Adı: Mathematical and Computational Applications
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.152-163
  • Anahtar Kelimeler: Candidate selection process, Centroid method, Fuzzy logic, Political parties
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Classical logic and classical set theorems are not sufficient enough when it is necessary to deal with complex decision making problems which also involve human experiences. Some researches suggest that senior management usually makes intuitive decisions in the process of selecting the candidates in political parties which brings out the need to derive a new efficient, robust and applicable method. In this study, the qualitative characteristics and their significance level which could be used for the candidate selection process in political parties are determined. The candidate selection process consisting vague inputs is analyzed by fuzzy logic methodology and a quantitative final score has been determined for the candidate. It has been shown that the model provided some realistic and promising results which could enable further studies to derive more optimized and enhanced models for similar purposes.