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EMEKLİLİK FONLARININ PERFORMANS DEĞERLENDİRMESİNDE BULANIK UZMAN SİSTEM KULLANIMI

PERFORMANCE EVALUATION OF PENSION FUNDS WITH FUZZY EXPERT SYSTEM

Journal Name:

  • Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi

Publication Year:

  • 2008

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Financial rating and ranking firms often use linguistic instead of numerical values. When input data are mostly qualitative and are based on subjective knowledge of experts, the Fuzzy Set Theory provides a solid mathematical model to represent and handle these data. The aim of this study is developing a fuzzy expert model to evaluate the performance of the pension funds by using their risk and return values. The method is used for evaluating the performance of the randomly selected of twenty seven Turkish pension funds. The obtained results proved that the fuzzy expert system is appropriate and consistent for performance evaluation.
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Abstract (Original Language): 
Finansal derecelendirme kuruluşları sayısal değerlendirme yerine dilsel değerlendirmeyi yaygın olarak kullanırlar. Verilerin çoğunlukla niteleyici olduğu ve uzmanlık bilgisine gereksinim duyulduğu durumlarda Bulanık Set Teorisi bu tür verilerin değerlendirilmesine destek vermektedir. Çalışma kapsamında, emeklilik fonlarının risk ve getiri bilgilerini kullanarak performans değerlendirmesi amacıyla bulanık uzman sistem geliştirilmiş ve rasgele seçilen yirmi yedi Türk emeklilik fonu üzerinde uygulama gerçekleştirilmiştir.
FULL TEXT (PDF): 
PDF icon arastrmx_190707_23_pp_213-227.pdf
  • 2
213-227
  • Turkish

REFERENCES

References: 

ACAR BOYACIOĞLU, M. (2002), "Operasyonel Risk ve Yönetimi",
Bankacılar Dergisi, 43. AKGÜÇ, Ö. (1994), Finansal Yönetim, Avcıol Basım-Yayın, İstanbul. AMBACHTSHEER, K., R. CAPELLE, ve T. SCHEIBELHUT, (1998),
"Improving Pension Fund Performance", Financial Analyst Journal,
54(6).
COGGIN, D.T., ve F.J. FABOZZI (1993), "The Investment Performance of
U.S. Equity Pension Fund Managers: An Empirical Investigation",
The Journal of Finance, 48(3) 1039-155. DWEIRI, F.T. ve M.M. KABLAN (2006), "Using Fuzzy Decision Making for
the Evaluation of the Project Management Internal Efficiency",
Decision Support Systems, 42(2), 712-726.
225
Serdar Korukoğlu - Serkan Ballı - Ay şen Korukoğlu
EXLEY, J.(2003), "Pension Funds and the U.K. Economy", Presented at the Great Con-Controversy: Current Pension Actuarial Practice in Light of Financial Economics Symposium, Vancouver.
KEMP, M., M.CUMBERWORTH, D.GARDNER, , J. GRIFFITHS, ve C.
SANFORD (2000), "Portfolio Risk Measurement and Reporting: An
Overview for Pension Funds", http://www.actuaries.org.uk/files/pdf/ Finance_invest/kemp.pdf KESHWANI, D.R., D.D. JONES, G.E. MEYER ve R.M. BRAND (2008), "Rule-Based Mamdani-type Fuzzy Modeling of Skin Permeability",
Applied Soft Computing, 8(1), 285- 294. KLIR G.J. ve B. YUAN (1995) Fuzzy Sets and Fuzzy Logic: Theory and Application, Prentice Hall, New Jersey.
LIN H.Y., P.Y. HSU ve G. J. SHEEN, (2007), "A Fuzzy-Based Decision-
Making Procedure for Data Warehouse System Selection", Expert
Systems with Applications, 32(3): 939-953. PEDRYCZ W. ve F., GOMIDE, (1998) An Introduction to Fuzzy Sets: Analysis
and Design, MIT Press, Cambridge. PLANTIGA A. (2006), "Performance Measurement for Pension Funds",
Research Report, University of Groningen, Research Institute SOM.
PUTTONEN V. ve S. TORSTILA (2002), "Risk Management in Finnish
Pension Funds: A Survey", Helsinki School of Economics in Spring
2002 as a part of the course 'Advanced Risk Management (28E300)'. RADOJEVIC, D. ve S.PETROVIC (1997), "A Fuzzy Approach to Preference
Structure in Multicriteria Ranking", International Transactions in
Operational Research, 4(5-6): 419-430. RESMİ GAZETE, No: 24681, Tarih: 28 Şubat 2002, "Emeklilik Yatırım
Fonlarının Kuruluş ve Faaliyetlerine İlişkin Esaslar Hakkında
Yönetmelik"
SILER, William, ve James J. BUCKLEY (2004), Fuzzy Expert Systems and
Fuzzy Reasoning, Wiley-Interscience. SOYLU, S. (2004), Emeklilik Yatırım Fonlarının Yönetimi, Ankara, 19-42.
SRINIVAS, P.S., E. WHITEHOUSE, ve J. YERMO (2000), "Regulating
Private Pension Funds' Structure, Performance and Investments: Cross- Country Evidence", Social Protection Discussion Paper Series, No: 0113, 8-11.
STANKO D. (2003), "Performance Evaluation of Public Pension Funds: The Reformed Pension System in Poland", The Pension Institute, Birbeck College, University of London, ISSN 1367-580X.
ŞEN, Zekai (2004), Mühendislikte Bulanık Mantık İle Modelleme Prensipleri, Su Vakfı Yayınları.
226
Emeklilik
Fonlarının Performans Değerlendirmesinde Bulanık Uzman Sistem Kullanımı
ZADEH, L. A. (1965), Fuzzy Sets and Systems, In: Fox J, Editor, System
Theory, Brooklyn, NY: Polytechnic Press; 29-39. ZADEH, L. A. (1965), "Fuzzy Sets", Information Control, 8(3), 338-353. ZADEH, L.A.(1983), "The Role ofFuzzy Logic in the Management of
Uncertainty in Expert Systems", Fuzzy Sets and Systems, 11(1-3):197-
198.
ZIMMERMANN, J.-H., (1996), Fuzzy Set Theory- and Its Applications. Third Edition, Kluwer Academic Publishers, U.S.A.

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