Group decision making process(GDM) has the characteristic of drawing on the wisdom of the mass, but in current social activities especially the e-business, the corresponding group decision support system(GDSS) are not widely and availably used currently. In this paper, we propose a new GDSS integrating platform with common interfaces to all kinds of GDSS. In this architecture, group decision making processes using multi-attribute decision making(MADM) techniques are regarded as services for new demands, which make decision making processes performed fast but without the loss of wisdom of the mass.
Decoding algorithms with strong practical value not only have good decoding performance, but also have the computation complexity as low as possible. For this purpose, the paper points out the modified min-sum decoding algorithm(M-MSA). On the condition of no increasing in the decoding complexity, it makes the error-correcting performance improved by adding the appropriate scaling factor based on the min-sum algorithm(MSA), and it is very suitable for hardware implementation. Simulation results show that this algorithm has good BER performance, low complexity and low hardware resource utilization, and it would be well applied in the future.
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