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Math. Comput. Appl. 2012, 17(2), 152-163; doi:10.3390/mca17020152

A Proposed Model for Candidate Selection Process in Political Parties Based on Fuzzy Logic Methodology

1
Dept. of Business Administration, Dokuz Eylül University Buca, Izmir, Turkey
2
Izmir Vocational School, Dokuz Eylül University Buca, Izmir, Turkey
3
Dept. of Computer Programming, Yaşar University, Bornova, Izmir, Turkey
*
Author to whom correspondence should be addressed.
Published: 1 August 2012
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Abstract

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 fur
Keywords: Fuzzy logic; Candidate selection process; Political parties; Centroid method Fuzzy logic; Candidate selection process; Political parties; Centroid method
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Gökşen, Y.; Doğan, O.; Eminağaoğlu, M. A Proposed Model for Candidate Selection Process in Political Parties Based on Fuzzy Logic Methodology. Math. Comput. Appl. 2012, 17, 152-163.

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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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