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

Volume

4

fYear

2008

fDate

12-15 July 2008

Firstpage

2073

Lastpage

2078

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2008.4620747

Filename

4620747