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Year 2012, Volume: 1 Issue: 2, 67 - 78, 02.07.2012

Abstract

References

  • S. Galvin, Operating System Concepts, 4th Edition. Addison Wesley, Reading, MA, 1994.
  • A.S. Tanenbaum, Operating Systems: Design and Implementation. Prentice Hall, Englewood Cliffs, NJ, E. Tolga, M. L. Demircan, C. Kahraman, “Operating system selection using fuzzy replacement analysis and analytic hierarchy process”, Int. J. Production Economics, 97, pp.89-117, 2005.
  • G.D. Knott, A proposal for certain process management and intercommunication primitives. SIGOPS Operating Systems Review, 8(4), pp.7-44, S. Balli and S. Korukoğlu, Operating System Selection Using Fuzzy Ahp And Topsis Methods, Mathematical and Computational Applications, (2), pp.119-130, 2009.
  • S. Jharkharia, R. Shankar, “Selection of logistics service provider: an analytic network process (ANP) approach”, Omega, 35, pp.274-289, 2007.
  • S. Boran, K. Goztepe and E. Yavuz, “A study on election of personnel based on performance measurement by using analytic network process (ANP)”, IJCSNS International Journal of Computer Science and Network Security, 8(4), 2008.
  • C. W. Chang, C.-R. Wu, C.-T Lin, and H.-L. Lin, “Evaluating digital video recorder using analytic hierarchy Information Sciences, 177(16), pp.3383-3396, 2007. network processes”,
  • T.L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, Inc., New York, USA, 1980.
  • T.L. Saaty, Decision making with dependence and feedback: the analytic network process, RWS Publications, Pittsburgh, 1996.
  • T.L. Saaty, “Fundamentals of the analytic network process”, Kobe, Japan: ISAHP, 1999.
  • A. B. McBratney, O.A. Odeh, “Application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements and fuzzy decisions”, Geoderma 77, 113, 1997.
  • H. J. Zimmermann, “Fuzzy Set Theory and its Applications”, London, 1994. Academic Publishers,
  • C.H. Liu, G.H. Tzeng, and M.H. Lee, “Improving tourism policy implementation-the use of hybrid MCDM models”, Tourism Management, 33(2), pp.239-488, 2012.
  • J.L. Yang and G.H. Tzeng, “An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method”, Expert Systems with Applications, 38(3), pp.1417-1424, 2011.
  • S. Boran and K. Goztepe, Development of a fuzzy decision support system for commodity acquisition using fuzzy analytic network process, Expert Systems with Applications, 37, pp.1939-1945, 2010.
  • T. L. Saaty, “The analytic hierarchy and analytic network measurement processes: Applications to decisions under Risk”, European Journal of Pure and Applied Mathematics, 1 (1), pp.122-196, 2008.
  • T.L. Saaty, L.G. Vargas, “Diagnosis with Dependent Symptoms: Bayes Theorem and the Analytic Hierarchy Process”, Operations Research, 46, pp.491-502, 1998.
  • C. Kahraman, T. Ertay, G. Buyukozkan, “A fuzzy optimization model for QFD planning process using analytic network approach”, European Journal of Operational Research, 171 (2), pp.390-411, 2006.
  • M. Sugeno, “Fuzzy measures and fuzzy integrals: a survey, in: M.M. Gupta, G.N. Saridis, B.R. Gaines (Eds.), Fuzzy Automata and Decision Processes”, North-Holland, Amsterdam, pp. 9-102, 1977.
  • M. Sugeno, “Theory of fuzzy integrals and its applications”, PhD Thesis, Tokyo Institute of Technology, 1974.
  • M. Sugeno and T.Terano, “A model of learning on fuzzy information”, Kybernetes 16(3), pp.157-166, L. Berrah, G. Mauris and J. Montmain, “Monitoring the Performance Aggregation”, Management Science, 36, pp.340-351, 2008. Integral Based The International Journal of
  • T. Demirel, N. Ç. Demirel, and C. Kahraman, “Multi- criteria Choquet Integral”, Expert Systems with Applications, (5), pp.3943-3952, 2010. Selection Using
  • P. Meyer, M. Roubens, “On the Use of the Choquet Integral with Fuzzy Numbers in Multiplecriteria Decision Support”, Fuzzy Sets and Systems, 157, pp.927-938, 2005.
  • H. H. Tsai, I. Y. Lu, “The Evaluation of Service Quality Using Generalized Choquet Integral”, Information Sciences, 176, pp.640-663, 2006.
  • Z. Wang, G.J. Klir, Fuzzy Measure Theory, Plenum Publishing Corporation, New York, 1992.
  • E. Takahagi, “On IdentiŞcation methods of λ-fuzzy measures using weights and λ”, Japanese Journal of Fuzzy Sets and Systems, vol.12, No.5, pp.665-676, K. Ishii and M. Sugeno, “A model of human evaluation International Journal of Man-Machine Studies 22, pp.19-38, 1985. using fuzzy measure”,
  • M. Grabisch, T. Murofushi, M. Sugeno, “Fuzzy Measures and Integrals”, Physica-Verlag, New York, T.L. Saaty and L.G. Vargas, “Decision Making with the Analytic Network Process”, Springer, Pittsburgh, USA, 2006. APPENDIX A
  • INTERNATIONAL JOURNAL OF INFORMATION SECURITY SCIENCE Kerim GÖZTEPE, Vol.1, No.2

A Study on OS Selection Using ANP Based Choquet Integral in Terms of Cyber Threats

Year 2012, Volume: 1 Issue: 2, 67 - 78, 02.07.2012

Abstract

Critical systems are today exposed to new kinds of security threats. Cyber security is determine with cyberspace safe from threats, it is called cyber-threats. Cyber-threats is applied the malicious use of information and communication technologies or the behaviour of attackers. Because of the importance of cyber threats, operating system (OS) selection is a critical decision that can significantly affect future competitiveness and performance of an organization. It is increasingly valuable in today’s current administration and businesses because of its ability to integrate the information. An operating system, especially with the weakness in security can lead to serious financial losses. The aim of this study is to develop a decision model based on Analitic Network Process (ANP)-choquet integral integration that select the appropriate operating system for critical computer systems by taking subjective judgments of decision makers into consideration. Proposed approach is based on ANP-choquet integral method. ANP method is used in determining the weights of the criteria by decision makers and then choquet integral is applied in rankings of the operating systems. Numerical study has also been demonstrated.

References

  • S. Galvin, Operating System Concepts, 4th Edition. Addison Wesley, Reading, MA, 1994.
  • A.S. Tanenbaum, Operating Systems: Design and Implementation. Prentice Hall, Englewood Cliffs, NJ, E. Tolga, M. L. Demircan, C. Kahraman, “Operating system selection using fuzzy replacement analysis and analytic hierarchy process”, Int. J. Production Economics, 97, pp.89-117, 2005.
  • G.D. Knott, A proposal for certain process management and intercommunication primitives. SIGOPS Operating Systems Review, 8(4), pp.7-44, S. Balli and S. Korukoğlu, Operating System Selection Using Fuzzy Ahp And Topsis Methods, Mathematical and Computational Applications, (2), pp.119-130, 2009.
  • S. Jharkharia, R. Shankar, “Selection of logistics service provider: an analytic network process (ANP) approach”, Omega, 35, pp.274-289, 2007.
  • S. Boran, K. Goztepe and E. Yavuz, “A study on election of personnel based on performance measurement by using analytic network process (ANP)”, IJCSNS International Journal of Computer Science and Network Security, 8(4), 2008.
  • C. W. Chang, C.-R. Wu, C.-T Lin, and H.-L. Lin, “Evaluating digital video recorder using analytic hierarchy Information Sciences, 177(16), pp.3383-3396, 2007. network processes”,
  • T.L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, Inc., New York, USA, 1980.
  • T.L. Saaty, Decision making with dependence and feedback: the analytic network process, RWS Publications, Pittsburgh, 1996.
  • T.L. Saaty, “Fundamentals of the analytic network process”, Kobe, Japan: ISAHP, 1999.
  • A. B. McBratney, O.A. Odeh, “Application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements and fuzzy decisions”, Geoderma 77, 113, 1997.
  • H. J. Zimmermann, “Fuzzy Set Theory and its Applications”, London, 1994. Academic Publishers,
  • C.H. Liu, G.H. Tzeng, and M.H. Lee, “Improving tourism policy implementation-the use of hybrid MCDM models”, Tourism Management, 33(2), pp.239-488, 2012.
  • J.L. Yang and G.H. Tzeng, “An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method”, Expert Systems with Applications, 38(3), pp.1417-1424, 2011.
  • S. Boran and K. Goztepe, Development of a fuzzy decision support system for commodity acquisition using fuzzy analytic network process, Expert Systems with Applications, 37, pp.1939-1945, 2010.
  • T. L. Saaty, “The analytic hierarchy and analytic network measurement processes: Applications to decisions under Risk”, European Journal of Pure and Applied Mathematics, 1 (1), pp.122-196, 2008.
  • T.L. Saaty, L.G. Vargas, “Diagnosis with Dependent Symptoms: Bayes Theorem and the Analytic Hierarchy Process”, Operations Research, 46, pp.491-502, 1998.
  • C. Kahraman, T. Ertay, G. Buyukozkan, “A fuzzy optimization model for QFD planning process using analytic network approach”, European Journal of Operational Research, 171 (2), pp.390-411, 2006.
  • M. Sugeno, “Fuzzy measures and fuzzy integrals: a survey, in: M.M. Gupta, G.N. Saridis, B.R. Gaines (Eds.), Fuzzy Automata and Decision Processes”, North-Holland, Amsterdam, pp. 9-102, 1977.
  • M. Sugeno, “Theory of fuzzy integrals and its applications”, PhD Thesis, Tokyo Institute of Technology, 1974.
  • M. Sugeno and T.Terano, “A model of learning on fuzzy information”, Kybernetes 16(3), pp.157-166, L. Berrah, G. Mauris and J. Montmain, “Monitoring the Performance Aggregation”, Management Science, 36, pp.340-351, 2008. Integral Based The International Journal of
  • T. Demirel, N. Ç. Demirel, and C. Kahraman, “Multi- criteria Choquet Integral”, Expert Systems with Applications, (5), pp.3943-3952, 2010. Selection Using
  • P. Meyer, M. Roubens, “On the Use of the Choquet Integral with Fuzzy Numbers in Multiplecriteria Decision Support”, Fuzzy Sets and Systems, 157, pp.927-938, 2005.
  • H. H. Tsai, I. Y. Lu, “The Evaluation of Service Quality Using Generalized Choquet Integral”, Information Sciences, 176, pp.640-663, 2006.
  • Z. Wang, G.J. Klir, Fuzzy Measure Theory, Plenum Publishing Corporation, New York, 1992.
  • E. Takahagi, “On IdentiŞcation methods of λ-fuzzy measures using weights and λ”, Japanese Journal of Fuzzy Sets and Systems, vol.12, No.5, pp.665-676, K. Ishii and M. Sugeno, “A model of human evaluation International Journal of Man-Machine Studies 22, pp.19-38, 1985. using fuzzy measure”,
  • M. Grabisch, T. Murofushi, M. Sugeno, “Fuzzy Measures and Integrals”, Physica-Verlag, New York, T.L. Saaty and L.G. Vargas, “Decision Making with the Analytic Network Process”, Springer, Pittsburgh, USA, 2006. APPENDIX A
  • INTERNATIONAL JOURNAL OF INFORMATION SECURITY SCIENCE Kerim GÖZTEPE, Vol.1, No.2
There are 27 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Kerim Goztepe

Publication Date July 2, 2012
Submission Date January 30, 2016
Published in Issue Year 2012 Volume: 1 Issue: 2

Cite

IEEE K. Goztepe, “A Study on OS Selection Using ANP Based Choquet Integral in Terms of Cyber Threats”, IJISS, vol. 1, no. 2, pp. 67–78, 2012.