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随着信息时代的到来,企业的竞争越来越趋向于信息的竞争。但在实际的信息采集过程中,信息的不完备现象是广泛存在的,在这种信息不确定的情况下,软集合理论的出现成了解决此类问题的一种工具。本文针对零售企业在选址过程中的不确定因素,提出了不完备信息下的软集合理论综合分析方法,提出的加权平均的方法考虑了参数所有可能的取值情况,使得到的最终决策值更接近实际。最后,通过一个算例来表明该方法在企业选址中的实用性和有效性。
With the advent of the information age, the competition of enterprises tends to compete more and more with information. However, in the process of actual information collection, the information incompleteness is widespread. Under the condition of such information uncertainty, the emergence of soft set theory becomes a tool to solve such problems. In this paper, aiming at the uncertain factors of retail enterprises in the process of site selection, a comprehensive analysis method of soft set theory under incomplete information is proposed. The proposed weighted average method considers all possible values of parameters and makes the final decision value More realistic. Finally, an example is given to show the practicability and effectiveness of this method in site selection.