Yıl: 2009 Cilt: 14 Sayı: 2 Sayfa Aralığı: 119 - 130 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Operating system selection using fuzzy AHP and TOPSIS methods

Öz:
The aim of study is developing a fuzzy decision model to select appropriate operating system for computer systems of the firms by taking subjective judgments of decision makers into consideration. Proposed approach is based on Fuzzy Analytic Hierarchy Process (FAHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. FAHP method is used in determining the weights of the criteria by decision makers and then rankings of the operating systems are determined by TOPSIS method. Empirical study has also been demonstrated.
Anahtar Kelime:

Konular: Matematik
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • 1. Benitez, J. M., Martin, J. C., and Roman, C., Using fuzzy number for measuring quality of service in the hotel industry, Tourism Management, 28 (2), 544–555, 2007.
  • 2. Buckley, J.J., Fuzzy hierarchical analysis, Fuzzy Sets and Systems, 17, 233–247,1985.
  • 3. Chang, D.-Y., 1992. Extent Analysis and Synthetic Decision, Optimization Techniques and Applications, World Scientific, Singapore, 1, 352, 1992.
  • 4. Chang, D.-Y., Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research, 95, 649–655, 1996.
  • 5. Chen, G., and Pham, T. T., Introduction to fuzzy, sets fuzzy, logic and fuzzy control systems, Florida: CRC Press, 2001.
  • 6. Chen, M-F. and Tzeng G-H., Combining grey relation and TOPSIS concepts for selecting an expatriate host country, Mathematical and Computer Modelling, 40(13), 1473-1490, 2004.
  • 7. Deng, H., Multicriteria analysis with fuzzy pair-wise comparison, International Journal of Approximate Reasoning, 21, 215-231, 1999.
  • 8. Ertuğrul, İ. and Karakaşoğlu, N., Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods, Expert Systems with Applications, Article in Press, doi:10.1016/j.eswa.2007.10.014, 2007.
  • 9. Gumus , A.T., Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology, Expert Systems with Applications, Article in Press, doi:10.1016/j.eswa.2008.03.013, 2008.
  • 10. Hwang C. L. and Yoon, K., Multiple attributes decision making methods and applications, Springer, Berlin, 1981.
  • 11. Isıklar, G. and Büyüközkan, G., “Using a multi-criteria decision making approach to evaluate mobile phone alternatives”, Computer Standards & Interfaces, 29(2), 265-274, 2007.
  • 12. Kahraman, C., Capital budgeting techniques using discounted fuzzy cash flows. In:Ruan, D., Kacprzyk, J. and Fedrizzi, M., Editors, Soft Computing for Risk Evaluation and Management: Applications in Technology, Environment and Finance, Physica-Verlag, Heidelberg , 375–396, 2001.
  • 13. Kahraman, C., Ruan D. and Tolga, E., Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows, Information Sciences, 142, (1–4),57–76, 2002.
  • 14. Kahraman, C., Cebeci U. and Ulukan, Z., Multi-criteria supplier selection using fuzzy AHP, Logistics Information Management, 16 (6), 382–394, 2003.
  • 15. Kahraman C., Cebeci, U., and Ruan, D., Multi-attribute comparison of catering service companies using fuzzy AHP: the case of Turkey. International Journal of Production Economics, 87, 171–184, 2004.
  • 16. Klir G.J. and Yuan B., Fuzzy Sets and Fuzzy Logic: Theory and Application, Prentice Hall, New Jersey, 1995.
  • 17. Knott, G. D., 1974. A proposal for certain process management and intercommunication primitives. SIGOPS Operating Systems Review, 8(4), 7-44, 1974.
  • 18. Lee, W. B., Lau, H., Liu, Z. and Tam, S., A fuzzy analytic hierarchy process approach in modular product design, Expert Systems, 18 (1), 32–42, 2001.
  • 19. Lin, M-C., Wang, C-C., Chen, M-S. and Chang C. A., Using AHP and TOPSIS approaches in customer-driven product design process, Computers in Industry, 59(1), 17–31, 2008.
  • 20. McKusick, M. K. and Neville-Neil, G. V., The Design and Implementation of the FreeBSD Operating System, Addison Wesley, 2004.
  • 21. Nguyen, H. T. and Walker, E. A., A first course in fuzzy logic, Chapman & Hall/CRC, Florida, 2000.
  • 22. Önüt, S. and Sonera, S., Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment, Waste Management, 28(9), 1552-1559, 2008.
  • 23. Saaty, T.L., The analytic hierarchy process, McGraw-Hill, New York, 1980.
  • 24. Silberschatz A., Galvin, P. B. and Gagne G., (2004), Operating System Concepts, Seventh Edition, John Wiley & Sons, 2004.
  • 25. Taho Yang, T., Chen, M-T. and Hung, C-C., Multiple attribute decision-making methods for the dynamic operator allocation problem, Mathematics and Computers in Simulation, 73(5), 285-299, 2007.
  • 26. Tanenbaum, A. S. and Woodhull, A. S., Operating Systems: Design and Implementation, Third Edition, Prentice Hall, 2006.
  • 27. Tolga, E., Demircan, M., L. and Kahraman Cengiz, Operating system selection using fuzzy replacement analysis and analytic hierarchy process, International Journal of Production Economics, 97(1), 89-117, 2005.
  • 28. Van Laarhoven P.J.M. and Pedrcyz, W. A fuzzy extension of Saaty’s priority theory, Fuzzy Sets and Systems, 11, 229–241, 1983.
  • 29. Wang Y. M. and Elhag T. M. S., Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment, Expert Systems with Applications, 31, 309–319, 2006.
  • 30. Wang, Y-J. and Lee, H-S., Generalizing TOPSIS for fuzzy multiple-criteria group decision-making, Computers & Mathematics with Applications, 53(11), 1762– 1772, 2007.
  • 31. Zadeh L. A., Fuzzy sets, Information Control, 8, 338–353, 1965.
  • 32. Zimmermann, J.-H., Fuzzy Set Theory and Its Applications, Third Edition, Kluwer Academic Publishers, U.S.A, 1996.
APA Ballı S, KORUKOĞLU M (2009). Operating system selection using fuzzy AHP and TOPSIS methods. , 119 - 130.
Chicago Ballı Serkan,KORUKOĞLU MUSTAFA SERDAR Operating system selection using fuzzy AHP and TOPSIS methods. (2009): 119 - 130.
MLA Ballı Serkan,KORUKOĞLU MUSTAFA SERDAR Operating system selection using fuzzy AHP and TOPSIS methods. , 2009, ss.119 - 130.
AMA Ballı S,KORUKOĞLU M Operating system selection using fuzzy AHP and TOPSIS methods. . 2009; 119 - 130.
Vancouver Ballı S,KORUKOĞLU M Operating system selection using fuzzy AHP and TOPSIS methods. . 2009; 119 - 130.
IEEE Ballı S,KORUKOĞLU M "Operating system selection using fuzzy AHP and TOPSIS methods." , ss.119 - 130, 2009.
ISNAD Ballı, Serkan - KORUKOĞLU, MUSTAFA SERDAR. "Operating system selection using fuzzy AHP and TOPSIS methods". (2009), 119-130.
APA Ballı S, KORUKOĞLU M (2009). Operating system selection using fuzzy AHP and TOPSIS methods. Mathematical and Computational Applications, 14(2), 119 - 130.
Chicago Ballı Serkan,KORUKOĞLU MUSTAFA SERDAR Operating system selection using fuzzy AHP and TOPSIS methods. Mathematical and Computational Applications 14, no.2 (2009): 119 - 130.
MLA Ballı Serkan,KORUKOĞLU MUSTAFA SERDAR Operating system selection using fuzzy AHP and TOPSIS methods. Mathematical and Computational Applications, vol.14, no.2, 2009, ss.119 - 130.
AMA Ballı S,KORUKOĞLU M Operating system selection using fuzzy AHP and TOPSIS methods. Mathematical and Computational Applications. 2009; 14(2): 119 - 130.
Vancouver Ballı S,KORUKOĞLU M Operating system selection using fuzzy AHP and TOPSIS methods. Mathematical and Computational Applications. 2009; 14(2): 119 - 130.
IEEE Ballı S,KORUKOĞLU M "Operating system selection using fuzzy AHP and TOPSIS methods." Mathematical and Computational Applications, 14, ss.119 - 130, 2009.
ISNAD Ballı, Serkan - KORUKOĞLU, MUSTAFA SERDAR. "Operating system selection using fuzzy AHP and TOPSIS methods". Mathematical and Computational Applications 14/2 (2009), 119-130.