Managing Business Processes Using Soft Computing Techniques – a Literature Review
Managing Business Processes Using Soft Computing Techniques – a Literature Review

Summary/Abstract: Soft computing technologies are widely used by companies for processing a large amount of data in order to make decisions, since they normally take into account both internal and external factors. Due to their tolerance of imprecision and uncertainty, Soft computing techniques (SCT) are increasingly used in solving those problems. They are characterized by the ability to adapt quickly to the changes in the environment, by stability when processing large amounts of inaccurate data and by real time responsiveness. The basic and most commonly used Soft Computing Techniques are Fuzzy logic (FL) and neural networks (NN).This paper investigated the usage of soft computing techniques in managing business processes. The main goal was to collect and review papers that describe practical and theoretical application of SCT in different business process domains, and to highlight applied models and methods. A total of 73 papers were selected based on the journals impact factor and year of publication (1965-2015), with the focus on the most recent papers. Approximately, an equal number of both Fuzzy logic and Neural Network techniques were tried to be captured and reviewed. Although this review is not final, it can be considered as a valid guide to explore the opportunities and possibilities which fuzzy logic and neural networks offer to process owners in managing their business processes. In conclusion of this paper, fields for further research were identified.

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