Application of neuro-fuzzy system for predicting the success of a company in public procurement

D. Pamučar, Darko Božanić, A. Puška, Dragan Marinković
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引用次数: 12

Abstract

The paper presents a neuro-fuzzy system for evaluating and predicting the success of a construction company in public tenders. This model enables companies to operate sustainably by assessing their own position in the market. The model was based on data from a seven-year study, where data from the first six years were used to adjust the model, while data from the last year of the study were used for testing and validation. The neuro-fuzzy model was tuned using the Artificial Bee Colony algorithm.
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神经模糊系统在企业公共采购成功预测中的应用
本文提出了一个用于评估和预测建筑公司公开招标成功的神经模糊系统。这种模式使公司能够通过评估自己在市场中的地位来可持续地运营。该模型基于一项七年研究的数据,前六年的数据用于调整模型,而最后一年的数据则用于测试和验证。神经模糊模型使用人工蜂群算法进行调整。
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来源期刊
Decision Making Applications in Management and Engineering
Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences
CiteScore
14.40
自引率
0.00%
发文量
35
审稿时长
14 weeks
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