A new methodology of accounting for uncertainty factors in multiple criteria decision making problems

• Autorzy: Kalika V. I.
• Języki publikacji: EN

Abstrakty

EN

A new approach is proposed to select a predetermined number of "reasonable" (the best in a certain sense) alternatives from the considerable (maybe a vast) set of initial alternatives according to an arbitrary number of optimization criteria and accounting for uncertainty factors. The approach is based on using a special intuitive methodology, developed to account for uncertainty factors when solving such multiple criteria decision making (MCDM) problems. This methodology is based on performing multi-variant computations (MVC) and finding their "stable-optimal" solutions, and it's realized as a multi-level hierarchical system of MVC series. It's possible to use this methodology for solving various real problems.

Słowa kluczowe

EN

multiple criteria decision making; uncertainty factors; reasonable solutions; multi-level hierarchical system of multi-variant computation series; stable-optimal solutions; scenarios; Monte Carlo simulation

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2004
• Tom: nr 3
• Strony: 44--56
• Opis fizyczny: Bibliogr. 10 poz., il., tab.

Twórcy

autor

Kalika V. I.

• Natural Resources and Environmental, Research Center, Haifa University, Mount Carmel, Haifa 31905, Israel,

Bibliografia

• [1] V. I. Kalika and S. Frant, „Multi-criteria analysis accounting for uncertainty factors in electricity generation expansion planning", in Proc. 12th Power Syst. Computat. Conf., Dresden, Germany, 1996, vol. 1, pp. 145-151.
• [2] V. I. Kalika and S. Frant, „Environmental aspects of power generation", Energy Sour., vol. 21, pp. 687-704, 1999.
• [3] V. I. Kalika and S. Frant, „Multi-criteria optimization accounting for uncertainty in dynamic problem of power generation expansion planning", in Research and Practice in Multiple Criteria Decision Making, Y. Y. Haimes and R. E. Steuer, Eds., Lecture Notes in Economics and Mathematical Systems. Springer-Verlag, 2000, vol. 487, pp. 409-420.
• [4] V. I. Kalika, „Multi-level hierarchical system to take into account uncertainty in multi-criteria decision making process", in Proc. Sixth Int. Symp. Anal. Hierar. Process, ISAHP 2001, Switzerland, 2001, pp. 173-180.
• [5] V. I. Kalika and S. Frant, „Multi-criteria approach for power generation expansion planning", in Multiple Criteria Decision in the New Millennium, M. Koksalan and S. Zuionts, Eds., Lecture Notes in Economics and Mathematical Systems. Springer-Verlag, 2001, vol. 507, pp. 458-468.
• [6] V. I. Kalika and G. Rossinsky, „Methodology of multi-criteria decision making accounting for uncertainty and some applications", Int. J. Manag. Decis. Mak., vol. 4, no. 2/3, pp. 240-271, 2003.
• [7] B. N. Massam, „Multi-criteria decision making (MCDM): techniques in planning", Prog. Plan., vol. 30, pp. 1-84, 1988.
• [8] T. L. Saaty, The Analytic Hierarchy Process. New York: McGraw-Hill, 1980.
• [9] T. L. Saaty, „The seven pillars of the analytic hierarchy process", in Multiple Criteria Decision in the New Millennium, M. Koksalan and S. Zuionts, Eds., Lecture Notes in Economics and Mathematical Systems. Springer-Verlag, 2001, vol. 507, pp. 15-37.
• [10] R. E. Steuer, Multiple Criteria Optimization: Theory, Computation and Application. New York: Wiley, 1986.