Adaptive fuzzy approach to estimate supplier's competitiveness in open e-bidding

T. Pham, S.K. Fuchter, G. Chen
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Abstract

This paper presents an adaptive fuzzy approach to estimate the competition of the suppliers in an open electronic bidding. The competition is formulated as the supply curve relating pricing against requested quantity. A set of supply curves, each from a competitor, is formulated into fuzzy expression to allow flexibility for a supplier to prepare an optimal pricing policy that deals with the fact that other competitors are also adapting at some unknown rate. The pricing policy is formulated into a mathematical expression that is easily adjusted as new information on the competitors becomes available. A revision of pricing policy for a supplier to compete on the pricing basis while maintaining an optimal profit margin is derived as an application. Computer simulations are provided to demonstrate the workability of this approach
开放式电子投标中供应商竞争力评价的自适应模糊方法
本文提出了一种自适应模糊方法来估计公开电子投标中供应商的竞争情况。竞争被表述为价格相对于需求量的供给曲线。将一组来自竞争对手的供给曲线表述为模糊表达式,使供应商能够灵活地制定最优定价策略,以应对其他竞争对手也以某种未知的速度适应的事实。定价策略被制定成一个数学表达式,随着竞争对手的新信息的出现,这个表达式很容易调整。为使供应商在定价基础上竞争的同时保持最优利润率,提出了一种修正定价政策的应用。计算机仿真证明了该方法的可行性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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