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BULANIK BOYUT ANALİZİ ve BULANIK VIKOR İLE BİR ÇNKV MODELİ: PERSONEL SEÇİMİ PROBLEMİ

A MADM MODEL BY FUZZY EXTENT ANALYSIS AND FUZZY VIKOR: A MADM MODEL BY FUZZY EXTENT ANALYSIS AND FUZZY VIKOR: PERSONNEL SELECTION PROBLEM

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Abstract (2. Language): 
Personnel selection is the most important problems affecting the success of the organizations. This selection is a decision making process including uncertainty. Generally, the best candidate is tried to find with a compromise decision by a committee according to attributes determined. Therefore, in this study a multi attributes decision making (MADM) model based on fuzzy set is proposed for personnel selection problem utilizing fuzzy pair wise comparison extent analysis and fuzzy VIKOR (VlsekriterijumskaOptimizacija I KompromisnoResenje) method. Fuzzy extent analysis enabling pair wise comparison is used to determine importance degree and weights of attributes; fuzzy VIKOR technique providing compromise solution is exploited to evaluate candidates. To show efficiency and applicability of the proposed MADM model, it is applied to lecturer selection problem. As a result of the study, the proposed MADM model based on fuzzy set are shown to provide ranking of alternatives and select the most appropriate one.
Abstract (Original Language): 
Personel seçimi organizasyonların başarısını etkileyen en önemli problemlerden biridir. Bu seçim, belirsizlik içeren bir karar verme sürecidir. Genellikle bir heyet tarafından belirlenmiş niteliklere göre en iyi aday uzlaşık bir karar ile belirlenmeye çalışılır. Bu sebeple, bu çalışmada bulanık ikili karşılaştırmalı boyut analizi ve bulanık VIKOR (VlsekriterijumskaOptimizacija I KompromisnoResenje) yöntemlerinden yararlanılarak personel seçimi problemi için bulanık küme temelli bir çok nitelikli karar verme (ÇNKV) modeli önerilmektedir. Niteliklerin önem derecelerinin belirlenmesi amacıyla ikili karşılaştırma imkânı veren bulanık boyut analizi ve adayların değerlendirilmesi için uzlaşık karar sağlayan bulanık VIKOR teknikleri kullanılmaktadır. Önerilen ÇNKV modelinin etkinliğini ve uygulanabilirliğini göstermek için model, öğretim görevlisi seçimi problemine uygulanmaktadır. Çalışmanın sonucunda, önerilen bulanık küme temelli ÇNKV modelinin alternatiflerin sıralanması ve en uygun olanın seçiminde uzlaşık çözüm sağladığı görülmektedir.
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REFERENCES

References: 

Akyüz, G., 2012. Bulanık VIKOR Yöntemi İle Tedarikçi Seçimi, Atatürk
Üniversitesi İktisadi ve İdari Bilimler Dergisi, 26, 1, 197-205.
Bali, Ö. ve Gencer, C., 2005. AHP, Bulanık AHP ve Bulanık Mantıkla Kara
Harp Okuluna Öğretim Elemanı Seçimi, KHO Savunma Bilimleri
Dergisi, 4;1, 24-43.
Büyüközkan, G.,&Ruan, D. 2008. Evaluation of Software Development
Projects Using A Fuzzy Multi-CriteriaDecisionApproach,
MathematicsandComputers in Simulation, 77(5), 464-475.
Capaldo, G.,&Zollo, G. 2001. Applyingfuzzylogictopersonnelassessment: a
casestudy, Omega, 29(6), 585-597.
Celik, M.,Kandakoglu, A., & Er, I. D. 2009. Structuringfuzzyintegratedmultistagesevaluation
model on academicpersonnelrecruitment in MET
institutions, ExpertSystemswith Applications,36(3), 6918-6927.
Chang, D.-Y., 1992.Extent Analysis and Synthetic Decision,
Optimization Techniques and Applications, 1, World Scientific,
Singapore, 352-360.
Chen, L.S.,Cheng, C.H., 2005. Selecting IS PersonnelUseFuzzy GDSS
Based On MetricDistanceMethod, EuropeanJournal of
OperationResearch, 160, 803–820.
Chen, L. Y.,&Wang, T. C. 2009. Optimizing partners’ choice in IS/IT
outsourcingprojects: Thestrategicdecision of fuzzy VIKOR,
International Journal of ProductionEconomics,120(1), 233-242.
BALİ
KHO BİLİM DERGİSİ CİLT:23 SAYI:2 YIL:2013
146
Chien, C. &Chen, L., 2008. Data
MiningtoImprovePersonnelSelectionandEnhance Human Capital: A
Case Study in High-TechnologyIndustry, ExpertSystemswith
Applications, 34, 280–290.
Dağdeviren, M. 2010. A hybridmulti-criteriadecision-making model
forpersonnelselection in manufacturingsystems, Journal of
Intelligentmanufacturing, 21(4), 451-460.
Dağdeviren, M., Yüksel, İ., 2007. PersonnelSelection Using Analytic
Network Process, İstanbul Ticaret Üniversitesi Fen Bilimleri
Dergisi, 6, 11 (1), 99-118.
Devi, K. 2011. Extension of VIKOR method in
intuitionisticfuzzyenvironmentfor robot selection, ExpertSystemswith
Applications,38(11), 14163-14168.
Dinçer, H.,Görener, A., 2011. Performans Değerlendirmesinde AHP -
VIKOR ve AHP - TOPSIS Yaklaşımları: Hizmet Sektöründe Bir
Uygulama, Mühendislik ve Fen Bilimleri Dergisi Sigma, 244-260.
Dursun, M., Karsak, E.E., 2009. A Fuzzy MCDM
ApproachForPersonnelSelection, ExpertSystemswith Applications,
37, 4324–4330.
Ertuğrul, İ. ve Karakaşoğlu, N., 2008. Banka Şube Performanslarının
VIKOR Yöntemi İle Değerlendirilmesi, Endüstri Mühendisliği
Dergisi, 20 (1), 19-28.
Gibney, R.,&Shang, J. 2007. Decisionmaking in academia: A case of
thedeanselectionprocess, Mathematical
andComputerModelling,46(7), 1030-1040.
BALİ
KHO BİLİM DERGİSİ CİLT:23 SAYI:2 YIL:2013
147
Göleç, A., Kahya, E., 2007. A Fuzzy Model ForCompetency-
BasedEmployee Evaluation AndSelection,
Computers&IndustrialEngineering, 52, 143–161.
Güngör, Z.,Serhadlıoğlu, G., & Kesen, S. E. 2009. A fuzzy AHP
approachtopersonnelselection problem, AppliedSoft Computing,9(2),
641-646.
Gürbüz, T. 2010.
MultiplecriteriahumanperformanceevaluationusingChoquet integral,
International Journal of ComputationalIntelligence Systems,3(3),
290-300.
JeyaGirubha, R.,&Vinodh, S. 2012. Application of fuzzy VIKOR
andenvironmentalimpactanalysisformaterialselection of an
automotivecomponent, Materials& Design, 37, 478-486.
Karsak, E. E., 2001. Personnelselectionusing a fuzzy MCDM
approachbased on ideal and anti-ideal solutions, LectureNotes in
Economicsand Mathematical Systems, 507, 393–402.
Kaya, T.,& Kahraman, C. 2010. Multicriteriarenewableenergyplanningusing
an integratedfuzzy VIKOR & AHP methodology: Thecase of Istanbul,
Energy, 35(6), 2517-2527.
Kelemenis, A.,&Askounis, D. 2010. A new TOPSIS-basedmulticriteriaapproachtopersonnelselection,
ExpertSystemswith
Applications,37(7), 4999-5008.
Liang, G. S.,&Wang, M. J. J. 1994. Personnelselectionusingfuzzy MCDM
algorithm, EuropeanJournal of OperationalResearch, 78(1), 22-33.
BALİ
KHO BİLİM DERGİSİ CİLT:23 SAYI:2 YIL:2013
148
Lin, H. T. 2009. A jobplacementinterventionusingfuzzyapproachfortwowaychoice,
ExpertSystemswith Applications,36(2), 2543-2553.
Malinowski, J.,Weitzel, T., &Keim, T. 2008. Decisionsupportforteamstaffing:
An automatedrelationalrecommendationapproach,
DecisionSupportSystems,45(3), 429-447.
Petrovic‐Lazarevic, S. 2001. Personnelselectionfuzzy model, International
Transactions in OperationalResearch, 8(1), 89-105.
Opricovic, S., 1998.Multicriteria optimization of civil engineering systems,
Faculty of Civil Engineering, Belgrade.
Opricovic, S. (2011). Fuzzy VIKOR with an
applicationtowaterresourcesplanning.,ExpertSystemswith
Applications,38(10), 12983-12990.
Opricovic, S.,&Tzeng, G. H. 2004. Compromisesolutionby MCDM methods:
A comparativeanalysis of VIKOR and TOPSIS, EuropeanJournal of
OperationalResearch,156(2), 445-455.
Shemshadi, A.,Shirazi, H., Toreihi, M., &Tarokh, M. J. 2011. A fuzzy VIKOR
methodforsupplierselectionbased on
entropymeasureforobjectiveweighting, ExpertSystemswith
Applications,38(10), 12160-12167.
Tzeng, G. H., Lin, C. W., &Opricovic, S. 2005. Multi-criteriaanalysis of
alternative-fuelbusesforpublictransportation, EnergyPolicy,33(11),
1373-1383.
Tzeng, G. H.,Teng, M. H., Chen, J. J., &Opricovic, S. 2002.
Multicriteriaselectionfor a restaurantlocation in Taipei, International
Journal of Hospitality Management,21(2), 171-187.
BALİ
KHO BİLİM DERGİSİ CİLT:23 SAYI:2 YIL:2013
149
Yücenur, G. N.,& Demirel, N. Ç. 2012.
Groupdecisionmakingprocessforinsurancecompanyselection problem
withextended VIKOR methodunderfuzzyenvironment,
ExpertSystemswith Applications,39(3), 3702-3707.
Zadeh, L.A. 1965. Fuzzysets. Information and Control, 8(3), 338-353.

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