تحليل كاربرد مهندسي مجدد فرآيندهاي كسبوكار به منظور بهبود مديريت كسبوكار هوشمند با استفاده از سيستم استنتاج عصبي-فازي

Analyzing the Application of Business Process Reengineering to Improve Business Intelligence Management Using a Neuro-Fuzzy Inference System

One of the most important reasons why organizations differ from one another is the degree to which information technology is utilized by them in organizational activities. In the current study, for the first time, an adaptive neuro fuzzy inference system was developed to analyze the application of business process re engineering BPR to improve business intelligence management in electronic business i.e., e Business, which was called BI.BPR#ANFIS. In fact, the subject matter of this study could be the ambiguity and fatigue of decision makers in analyzing the application of BPR to improve business intelligence management due to the combination of different methods for analyzing the application of BPR to improve business intelligence management. The process of designing a neuro fuzzy inference system, the tool for determining the variables of the decision model, and its validity and reliability were scrutinized. Finally, using the outputs of business processes reengineering in business intelligence using the neuro fuzzy decision support BI.BPR#ANFIS system, the status of analyzing the application of BPR to improve business intelligence management could be investigated based on variables such as: the status of the IT service strategy stage in business intelligence management, the status of IT services design stage in business intelligence management, the status of IT service transfer stage in business intelligence management, the status of IT service operation stage in business intelligence management, and the status of IT service continual improvement stage in business intelligence management. In actual fact, the final difference between the outputs of the neuro#fuzzy inference system and the mean of experts opinions was equal to 0.065, so it was not significant.

One of the most important reasons why organizations differ from one another is the degree to which information technology is utilized by them in organizational activities. In the current study, for the first time, an adaptive neuro fuzzy inference system was developed to analyze the application of business process re engineering BPR to improve business intelligence management in electronic business i.e., e Business, which was called BI.BPR#ANFIS. In fact, the subject matter of this study could be the ambiguity and fatigue of decision makers in analyzing the application of BPR to improve business intelligence management due to the combination of different methods for analyzing the application of BPR to improve business intelligence management. The process of designing a neuro fuzzy inference system, the tool for determining the variables of the decision model, and its validity and reliability were scrutinized. Finally, using the outputs of business processes reengineering in business intelligence using the neuro fuzzy decision support BI.BPR#ANFIS system, the status of analyzing the application of BPR to improve business intelligence management could be investigated based on variables such as: the status of the IT service strategy stage in business intelligence management, the status of IT services design stage in business intelligence management, the status of IT service transfer stage in business intelligence management, the status of IT service operation stage in business intelligence management, and the status of IT service continual improvement stage in business intelligence management. In actual fact, the final difference between the outputs of the neuro#fuzzy inference system and the mean of experts opinions was equal to 0.065, so it was not significant.