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Yemek Firması Alternatiflerini Değerlendirmede Bulanık ELECTRE I Yöntemi

Fuzzy ELECTRE I Method for Evaluating Catering Firm Alternatives

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Abstract (2. Language): 
Decision making in an uncertain environment is a complex task for decision makers. Fuzzy multi criteria decision making methods are proposed in the literature where the subjective criteria and the weights of all criteria are assessed in linguistic variables since conventional methods cannot take into consideration the subjectivity and uncertainty in the decision process. Fuzzy ELECTRE I (Elimination Et Choix Traduisant la Realité) is one of the fuzzy multi criteria decision making methods for resolving the ambiguity of concepts that are associated with decision makers’ judgments. In this paper fuzzy ELECTRE I method is applied to catering firm selection problem of a textile company. By this way uncertainty in the problem has been considered and the most appropriate catering firm has been selected among the alternatives.
Abstract (Original Language): 
Belirsiz bir ortamda karar verme, karar vericiler için karmaşık bir iştir. Geleneksel yöntemler, karar verme sürecinde subjektifliği ve belirsizliği dikkate alamadığı için literatürde subjektif kri-terler ve bütün kriterlerin ağırlıklarının dilsel değişkenlerle değerlendirildiği çok kriterli karar verme yöntemleri önerilir. Bulanık ELECTRE I, karar vericilerin kararları ile ilgili kavramların belirsizliğini çözmek için kullanılan bulanık çok kriterli karar verme yöntemlerinden biridir. Bu çalışmada Bulanık ELECTRE I yöntemi, bir tekstil işletmesinin yemek firması seçim problemine uygulanmıştır. Bu şekilde, problemdeki belirsizlik dikkate alınmış ve alternatifler arasından en uygun yemek firması seçilmiştir.
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REFERENCES

References: 

Asghari, F., Amidian, A. A., Muhammadi, J. and
Rabiee, H. (2010) “A Fuzzy ELECTRE Approach for
Evaluating Mobile Payment Business Models” The Fourth
International Conference on Management of
e-Commerce and e-Government, October 23-24, China.
Cebeci, U. (2005) “Selecting the Suitable ERP
System: A Fuzzy AHP Approach” 35th International
Conference on Computers and Industrial Engineering,
June 19-22, Turkey.
Chen, C. T., Lin, C. T. and Huang, S. F. (2006) “A
Fuzzy Approach for Supplier Evaluation and Selection
in Supply Chain Management” International Journal of
Production Economics, 102(2):289–301.
Hatami-Marbini, A. and Tavana, M. (2011) “An
Extension of the ELECTRE I Method for Group Decision-
Making under a Fuzzy Environment” Omega,
39:373–386.
Kahraman, C., Cebeci, U. and Ruan, D. (2004)
“Multi-Attribute Comparison of Catering Service Companies
Using Fuzzy AHP: The Case of Turkey” International
Journal of Production Economics, 87:171–84.
Kahraman, C., Cebeci, U. and Ulukan, Z. (2003)
“Multi-Criteria Supplier Selection Using Fuzzy AHP”
Logistics Information Management, 16(6):382-394.
Kaya, T. and Kahraman, C. (2011) An Integrated
Fuzzy AHP–ELECTRE Methodology for Environmental
Impact Assessment. Expert Systems with Applications,
38:8553–8562.
Marzouk, M. M. (2010) “ELECTRE III Model for
Value Engineering Applications” Automation in Construction,
20(5):596-600.
Montazer, G. A., Saremi, H. Q. and Ramezani, M.
(2009) “Design a New Mixed Expert Decision Aiding
System Using Fuzzy ELECTRE III Method for Vendor
Selection” Expert Systems with Applications, 36:10837–
10847.
Sevkli, M. (2010) “An Application of the Fuzzy
ELECTRE Method for Supplier Selection” International
Journal of Production Research, 48(12):3393–3405.
Vahdani, B. and Hadipour, H. (2011) “Extension of
the ELECTRE Method Based on Interval-valued Fuzzy
Sets” Soft Computing, 15: 569–579.
Vahdani, B., Jabbari, A. H. K., Roshanaei, V. and
Zandieh, M. (2010) “Extension of the ELECTRE Method
for Decision-Making Problems with Interval Weights
and Data” International Journal of Advanced Manufacturing
Technologies, 50: 793–800.
Wu, M.-C. and Chen, T. Y. (2011) “The ELECTRE
Multicriteria Analysis Approach Based on Atanassov’s Intuitionistic
Fuzzy Sets” Expert Systems with Applications,
38(10):12318-12327.
Zadeh, L. A. (1965) “Fuzzy Sets” Information and
Control, 8:338-353.
Zimmermann, H. J. (1992) Fuzzy Set Theory and its
Applications, Boston, Kluwer Academic Publishers.

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