Title :
Optimizing resource acquisition decisions by two-stage fuzzy programming
Author :
Sun, Gao-Ji ; Liu, Yan-Kui
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding
Abstract :
Based on credibility theory, this paper reports on the application of fuzzy programming with recourse to strategic planning decisions regarding resource acquisition. To solve the two-stage fuzzy programming problem, a heuristic solution method which combines approximating method (AM), tabu search (TS) and neural network (NN), is proposed. At the end of the paper, we provide one numerical example to illustrate the feasibility and effectiveness of the designed algorithm.
Keywords :
approximation theory; decision theory; fuzzy set theory; neural nets; optimisation; search problems; strategic planning; approximating method; credibility theory; heuristic solution method; neural network; resource acquisition decision optimisation; strategic planning decisions; tabu search; two-stage fuzzy programming; Algorithm design and analysis; Companies; Cybernetics; Fuzzy sets; Integer linear programming; Machine learning; Mathematical programming; Neural networks; Strategic planning; Uncertainty; Credibility theory; Resource acquisition; Tabu search; Two-stage fuzzy programming;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620747
