How to cite this paper
Mutingi, M & Mbohwa, C. (2012). Fuzzy system dynamics and optimization with application to manpower systems.International Journal of Industrial Engineering Computations , 3(5), 873-886.
Refrences
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Bellman, R.E., & Zadeh, L.A. (1970). Decision making in a fuzzy environment. Management Science, 17,141–164.
Forrester, J.W. (1961). Industrial Dynamics. MIT Press, Cambridge, MA.
Gass, S.I. (1991). Military manpower planning models. Computers and Operations Research, 18(1), 65-73.
Guerry, M.A. (1999). Using fuzzy sets in manpower planning. Journal of Applied Probability 36,155-162.
Hafeez, K., & Aldelmeguid, H. (2003). Dynamics of human resource and knowledge management. Journal of the Operations Research Society, 54,153-164.
Inuiguchi, M., Sakawa, M., & Kume, Y. (1994). The usefulness of possibilistic programming in production planning problems. International Journal Production Economics, 33(1-2), 45–52.
McClean, S. (1991). Manpower planning models and their estimation. European Journal of Operational Research, 5(1), 179-187.
Mehlman, A. (1980). An approach to optimal recruitment and transition strategies for manpower systems using dynamic programming. Journal of the Operational Research Society, 31,1009–1015.
Mehlmann, A. (1980). An approach to optimal recruitment and transition strategies for manpower systems using dynamic programming. Journal of the Operational Research Society, 31,1009-1015.
Nilakantan, K., & Raghavendra, B.G. (2005). Control aspects in proportionality Markov manpower systems. Applied Mathematical Modelling, 29, 85-116.
Purkiss, C. (1981). Corporate manpower planning, a review of models. European Journal of Operational Research, 8, 315-323.
Rao, P. (1991). A dynamic programming approach to determine optimal manpower recruitment policies. Journal of the Operational Research Society, 41(10), 983–988.
Skulj, D., Vehovar, V., & Stamfelj, D. (2008). The modelling of manpower by Markov chains – A case study of the Slovenian Armed forces. Informatica, 32, 289-291.
Sterman, J.D. (2004). Business Dynamics, Systems Thinking and Modelling for a Complex World. Irwin/McGraw-Hill,New York.
Tessem, B., & Davidsen, P.I. (1994). Fuzzy system dynamics, an approach to vague and qualitative variables in simulation. System Dynamics Review, 10(1),49-62.
Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8,338-353.
Zadeh, L.A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1, 3–28.
Zanakis, S.H., & Maret, M.W. (1981). A Markovian goal programming approach to aggregate manpower planning. Journal of the Operational Research Society, 32, 55-63.
Zanakis, S.H., & Maret, M.W. (1980). A Markov chain application to manpower supply planning. Journal of Operational Research Society, 31,1095-1102.
Zimmerman, H.J. (1993). Fuzzy Set Theory and its Applications, second revised ed. Kluwer Academic Publishers,Dordrecht, London.
Zimmermann, H.J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems, 1, 45–55.
Bellman, R.E., & Zadeh, L.A. (1970). Decision making in a fuzzy environment. Management Science, 17,141–164.
Forrester, J.W. (1961). Industrial Dynamics. MIT Press, Cambridge, MA.
Gass, S.I. (1991). Military manpower planning models. Computers and Operations Research, 18(1), 65-73.
Guerry, M.A. (1999). Using fuzzy sets in manpower planning. Journal of Applied Probability 36,155-162.
Hafeez, K., & Aldelmeguid, H. (2003). Dynamics of human resource and knowledge management. Journal of the Operations Research Society, 54,153-164.
Inuiguchi, M., Sakawa, M., & Kume, Y. (1994). The usefulness of possibilistic programming in production planning problems. International Journal Production Economics, 33(1-2), 45–52.
McClean, S. (1991). Manpower planning models and their estimation. European Journal of Operational Research, 5(1), 179-187.
Mehlman, A. (1980). An approach to optimal recruitment and transition strategies for manpower systems using dynamic programming. Journal of the Operational Research Society, 31,1009–1015.
Mehlmann, A. (1980). An approach to optimal recruitment and transition strategies for manpower systems using dynamic programming. Journal of the Operational Research Society, 31,1009-1015.
Nilakantan, K., & Raghavendra, B.G. (2005). Control aspects in proportionality Markov manpower systems. Applied Mathematical Modelling, 29, 85-116.
Purkiss, C. (1981). Corporate manpower planning, a review of models. European Journal of Operational Research, 8, 315-323.
Rao, P. (1991). A dynamic programming approach to determine optimal manpower recruitment policies. Journal of the Operational Research Society, 41(10), 983–988.
Skulj, D., Vehovar, V., & Stamfelj, D. (2008). The modelling of manpower by Markov chains – A case study of the Slovenian Armed forces. Informatica, 32, 289-291.
Sterman, J.D. (2004). Business Dynamics, Systems Thinking and Modelling for a Complex World. Irwin/McGraw-Hill,New York.
Tessem, B., & Davidsen, P.I. (1994). Fuzzy system dynamics, an approach to vague and qualitative variables in simulation. System Dynamics Review, 10(1),49-62.
Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8,338-353.
Zadeh, L.A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1, 3–28.
Zanakis, S.H., & Maret, M.W. (1981). A Markovian goal programming approach to aggregate manpower planning. Journal of the Operational Research Society, 32, 55-63.
Zanakis, S.H., & Maret, M.W. (1980). A Markov chain application to manpower supply planning. Journal of Operational Research Society, 31,1095-1102.
Zimmerman, H.J. (1993). Fuzzy Set Theory and its Applications, second revised ed. Kluwer Academic Publishers,Dordrecht, London.
Zimmermann, H.J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems, 1, 45–55.