Application of uncertain variables to knowledge-based resource allocation in a group of research units

• Autorzy: Bubnicki Z. , Orski D.
• Języki publikacji: EN

Abstrakty

EN

The paper is concerned with the problem of a knowledge-based resource distribution in a group of research units. The uncertain parameters in the relational knowledge representation are assumed to be values of uncertain variables characterized by an expert in the form of certainty distributions. Two versions of the problem have been formulated. In the second version, a "productivity" of the units in the former period and the estimation of the current possibilities presented by the expert are taken into account. The results and examples concerning the second version have been presented.

Słowa kluczowe

EN

relational knowledge representation; knowledge based resource allocation; knowledge based system; project management; resource allocation

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2004
• Tom: Vol. 30, no 2
• Strony: 75--87
• Opis fizyczny: Bibliogr. 13 poz., rys., wykr.

Twórcy

autor

Bubnicki Z.

• Institute of Control and Systems Engineering, Wrocław University of Technology

autor

Orski D.

• Institute of Control and Systems Engineering, Wrocław University of Technology

Bibliografia

• [1] Bubnicki Z., Two-level optimization and control of the complex of operations. Proceedings of VII IFAC World Congress, Pergamon, Oxford 1978.
• [2] Bubnicki Z., Uncertain variables and their applications for a class of uncertain systems. International Journal of Systems Science, Vol. 32, No. 5,2001, 651-659.
• [3] Bubnicki Z., Uncertain variables and their application to decision making, IEEE Trans, on SMC, Part A: Systems and Humans, Vol. 31, No. 6,2001, 587-596.
• [4] Bubnicki Z., Uncertain Logics. Variables and Systems, Springer-Verlag, Berlin, London, New York 2002.
• [5] Bubnicki Z., Application of uncertain variables to decision making in a class of distributed computer systems. Proceedings of 17th IFIP World Computer Congress, Intelligent Information Processing, Kluwer Academic Publishers, Norwell 2002,261-264.
• [6] Bubnicki Z., Application of uncertain variables to a project management under uncertainty. Proceedings of the 16th International Conference on Systems Engineering, University of Coventry, Coventry 2003, 94-99.
• [7] Bubnicki Z., Analysis and Decision Making in Uncertain Systems, Springer-Verlag, Berlin, London, New York 2004.
• [8] Bubnicki Z., Application of uncertain variables and learning algorithms in a class of distributed knowledge systems. Proceedings of 18th IFIP World Computer Congress. Artificial Intelligence Applications and Innovations, Vol. "Professional Practice in AI", Kluwer Academic Publishers, Norwell 2004.
• [9] Bubnicki Z., On allocation problems for a complex of parallel operations described by uncertain variables. Foundations of Computing and Decision Sciences, Vol. 29,2004, (in press).
• [10] Kulikowski R., Optimum strategy in risky challenge model. Proceedings of 14th International Conference on Systems Science, Wroclaw University of Technology, Wroclaw 2001, 113-122.
• [11] Kulikowski R., On general theory of risk management and decision support systems. Bull. Polish Academy of Sci., Sci. Tech., Vol. 51, No. 3, 2003.
• [12] Ma J., Hemmje M., Knowledge management support for cooperative research. Proceedings of 17th IFIP World Computer Congress. Intelligent Information Processing, Kluwer Academic Publishers, Norwell 2002, 281-284.
• [13] Orski D., Quality of cascade operations control based on uncertain variables. Artificial Life and Robotics, Vol. 9, 2005, (to be published).