IJSTR

International Journal of Scientific & Technology Research

IJSTR@Facebook IJSTR@Twitter IJSTR@Linkedin
Home About Us Scope Editorial Board Blog/Latest News Contact Us
CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT
QR CODE
IJSTR-QR Code

IJSTR >> Volume 3- Issue 9, September 2014 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Hirerachical Decision Making Under Uncertainty In Relation To Telecommunication Industries

[Full Text]

 

AUTHOR(S)

Azagbaekwue, A , Ehiwario, J.C, Emenoye, C.E.

 

KEYWORDS

Key words: Decision making, uncertainty, stochastic programming, operatorsí model, virtual network operator and telecommunication.

 

ABSTRACT

Abstract: In this study, our interest was on the effect of decisions resulting from different decision makers who are independent actors and their major aim is to maximize profit in an uncertain market environment. Every firm set its decisions in the future period as a response to its competitorís policy. We employ stochastic programming and operatorsí model in modeling the situation. A structured model in a telecommunication environment for virtual network operators (VNO) was used without their own network facilities.

 

REFERENCES

[1] Werner, A.S (2004),Bi-level stochastic programming problem: analysis and application to telecommunication. Dept. of Industrial Economics and Technology Management, Norwegian University of science and Technology, Norway.

[2] Ermoliev, Y and Wets, R.J-B, editors (1988), Numerical techniques for stochastic optimization, Springer Verlag.

[3] Bawling, M and Veloso, M (2000), Analysis of stochastic game theory multi-agent reinforcement learning. Technical report, computer science dept., Carnegie Mellon University.

[4] Ermoliev, Y (1908), Stochastic quasi gradient methods. In Ermoliev, Y and Wets, R.J-B, editors (1988). Numerical techniques for stochastic optimization, pp141-186, Springer.

[5] Ekhaguere, G.O.S (), Lecture note on financial mathematics MAT.773, University of Ibadan, Ibadan, Nigeria.

[6] Gaivoronski, A.A (1988), Stochastic quasi gradient methods and their implementation. In Ermoliev, Y and Wets, R.J-B, editors (1988). Numerical techniques for stochastic optimization, pp313-351, Springer.

[7] Gaivoronski, A.A (1988), Stochastic programming approach to network planning under uncertainty. In Sciomachen, A, editor, optimization in industry: Mathematical programming and modeling techniques in practice, pp145-165.

[8] Nwose, C.R (), Lecture notes on Optimization, MAT. 781. University of Ibadan, Ibadan, Nigeria.

[9] Ekhaguere, G.O.S (), Lecture note on financial mathematics MAT.773, University of Ibadan, Ibadan, Nigeria.

[10] Gaivoronski, A.A and Werner, A (2006), Modeling of competition and collaboration network under uncertainty: Stochastic programs with recourse and Bi-level structure. International Institute for Applied Systems Analysis (I.I.A.S.A), Schlossplate 1, A-2361 Laxenburg, Austria.

[11] Patriksson, M and Wynter, L (1997), Stochastic non linear B-level programming. Technical report, professional records and Information Service Management (PRISM), Universite de Versailles-saint Quentim en Yvelines, Versailles, France.