Study On Optimal Group Decision Model For IT R&D Based On Improved Simulated Annealing Algorithm Combined With Fuzzy AHP
The strategic demand for IT of client firms decides the significance and necessity of IT vendors to invest on R &. D. IT vendors must keep their policies fitting clients strategy well in order to ensure the investment decisions in correct direction and improve core competence. IT R &- D plan often involves multirelevant projects. Income and risk of these projects prove hard to be estimated accurately and there exist time-lags between income and cost. Therefore, a model aiming at these characteristics is required for optimal group decision. This work created the model and combined improved simulated annealing algorithm with fuzzy AHP so that global optimal solution can be acquired accurately and quickly. Case study indicated that the method proved feasible and effective.
IT vendor IT R & D project optimal group decision fuzzy AHP improved simulated annealing algorithm
ZHANG Shouhe HUANG Wenjie
School of Business Administration, North China Electric Power University. Beijing, P. R. China, 102206
国际会议
2010 International Conference on Management(2010管理国际大会)
上海
英文
103-106
2010-07-24（万方平台首次上网日期，不代表论文的发表时间）