为了在社交网络中选择高价值代言人以达到尽可能好的移动优惠券投放效果,首先,根据粉丝数量和活跃状态对代言人社会传播能力进行建模,并利用移动优惠券类型的偏好程度和移动优惠券转发率对代言人个体分享意愿进行建模;然后,基于社会传播能力和个体分享意愿提出代言人价值的概念,设计代言人价值排序算法(endorser value rank algorithm);接着,在考虑代言人价值的基础上,针对企业利润和代言人收益最大化的多目标优化问题,建立移动优惠券投放模型,并设计基于遗传算法的HFNSGA算法,据此实现社交网络中基于代言人价值的移动优惠券投放;最后,通过在GitHub上的真实用户数据集对EVRank算法进行实验.实验结果表明,EVRank算法在准确率和匹配率上均优于其他相关算法,同时,算例分析表明,HFNSGA算法不仅可有效地求解高维多目标优化问题,且其解集有较好的分布性和均匀性,能够有效指导企业进行移动优惠券投放决策.
To discuss the relationship between stability and bullwhip effect in the supply chain system,a basic model in a production-inventory control system is developed using difference equations.Z-transform techniques are ap...
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To discuss the relationship between stability and bullwhip effect in the supply chain system,a basic model in a production-inventory control system is developed using difference equations.Z-transform techniques are applied to investigate the production ordering and inventory *** the two operational regimes of sufficient inventory coverage and insufficient inventory coverage,the scope of decision parameters which make the system stable or instable is *** two operational regimes and the actual system,production release rates,stability/instability and bullwhip effect in the stable region and instable region are examined based on different demand functions,and then the numerical simulation results are *** results show that reasonable choices of fractional adjustment of inventory and supply line can make the system stable and decrease bullwhip *** is summarized that the piecewise linearization based on the stability analysis approach is a valid approximation to the analysis of production-inventory ordering systems with *** interesting results are obtained and they have important implications for improving inventory and order decisions in supply chain systems.
The maximal entropy ordered weighted averaging （ME-OWA） operator is used to aggregate metasearch engine results, and its newly analytical solution is also applied. Within the current context of the OWA operator, the...
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The maximal entropy ordered weighted averaging （ME-OWA） operator is used to aggregate metasearch engine results, and its newly analytical solution is also applied. Within the current context of the OWA operator, the methods for aggregating metasearch engine results are divided into two kinds. One has a unique solution, and the other has multiple solutions. The proposed method not only has crisp weights, but also provides multiple aggregation results for decision makers to choose from. In order to prove the application of the ME-OWA operator method, under the context of aggregating metasearch engine results, an example is given, which shows the results obtained by the ME-OWA operator method and the minimax linear programming （ minimax-LP ） method. Comparison between these two methods are also made. The results show that the ME-OWA operator has nearly the same aggregation results as those of the minimax-LP method.
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