TR-Dizin İndeksli Yayınlar Koleksiyonu

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Browsing TR-Dizin İndeksli Yayınlar Koleksiyonu by Publisher "Association for Scientific Research"

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    Article
    Citation - Scopus: 1
    A proposed model for candidate selection process in political parties based on fuzzy logic methodology
    (Association for Scientific Research, 2012) METE EMİNAĞAOĞLU; Yılmaz GÖKŞEN; ONUR DOĞAN; Eminağaoğlu, Mete; Gökşen, Yılmaz; Doğan, Onur
    Classical 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.
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    Article
    Citation - Scopus: 45
    Long term energy consumption forecasting using genetic programming
    (Association for Scientific Research, 2008) Ahmet S. YILMAZ; Ahmet Alkan; KORHAN KARABULUT; Alkan, Ahmet; Yilmaz, Ahmet S.; Karabulut, Korhan
    Managing electrical energy supply is a complex task. The most important part of electric utility resource planning is forecasting of the future load demand in the regional or national service area. This is usually achieved by constructing models on relative information such as climate and previous load demand data. In this paper a genetic programming approach is proposed to forecast long term electrical power consumption in the area covered by a utility situated in the southeast of Turkey. The empirical results demonstrate successful load forecast with a low error rate.