不确定情形下在线多源多属性反向拍卖双边协商决策

针对现实中存在的带有协商交互的在线多源多属性反向拍卖(OMSMARA)情形,同时考虑到买卖(采供)双方面临的不同方面的不确定性,综合利用双层规划理论和模糊理论研究不确定情形下OMSMARA双边协商决策问题.首先,基于问题描述和适当假设,建立一个新的带有协商交互的模糊混合整数双层规划(FMIBLP)模型,并基于增广模糊最小最大决策方法进行模型的精确转化;其次,考虑到问题模型的特点以及粒子群算法(PSO)的优越性,提出基于修正PSO的双层分布迭代算法(PSO-BLDI)用于模型求解;然后,通过数值算例和对比分析展示所建模型的可行性以及所提出算法的有效性;最后,通过敏感性分析研究相关参数变化对模型求解结果的影响,进一步表明所提出模型的合理性与决策方法的有效性.

Decision-makings in online multi-sourcing multi-attribute reverse auction with bilateral negotiation under uncertainty

Aiming at the online multi-sourcing multi-attribute reverse auctions(OMSMARA) with existence of interactive negotiation in reality, and taking into account the uncertainties of different aspects faced by buyers and sellers, this paper uses the bi-level programming theory and the fuzzy theory to research the decision-making questions in the OMSMARA with bilateral negotiation under uncertainties. Firstly, based on the description of problems and the appropriate assumptions, a new fuzzy mixed integer bi-level programming(FMIBLP) model with interaction and negotiation is established, which is accurately conversed through the augmented fuzzy maximin decision method. Then, considering the characteristics of the problem model and the advantages of the PSO algorithm, a bi-level distribution iterative algorithm(PSO-BLDI) based on the modified PSO is proposed. Subsequently, the feasibility of the model and the effectiveness of the algorithm are demonstrated by the numerical example and comparative analysis. Finally, the sensitivity analysis is used to study the influence of the relevant parameter change on the model results, which further demonstrates the rationality of the model and the effectiveness of the decision-making method.