Shima Nargesi - Department of Information Technology Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Ghassem Ali Bazaee - Department of Information Technology Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

The present study aimed to evaluate the use of business process reengineering (BPR) to improve the business-IT alignment in knowledge-based businesses in Tehran by MATLAB programming software. The research issues included the ambiguity and fatigue of decision-makers and managers of knowledge-based businesses in Tehran due to the combination of different methods of evaluating the use of BPR to improve the business-IT alignment. Using the intelligent system, the status of "improving the alignment of IT with knowledge-based businesses of Tehran" can be examined numerically and more accurately: From the perspective of ideal importance, if the state of "IT service business strategy process reengineering (X۱)" is good, i.e. ۰.۸۱۳, and "IT service business design process reengineering (X۲)" is good, i.e. ۰.۸۲۴, and "IT service business transfer process reengineering (X۳)" is good, i.e. ۰.۸۱۹, and "IT service business operation process reengineering (X۴)", i.e. ۰.۸۱۲, and "IT service business continuous improvement process reengineering (X۵)" is good, i.e. ۰.۸۱۵, then the state of "improving the alignment of IT with Tehran knowledge-based businesses" is at the "excellent (fifth level)" level, i.e. ۰.۹۵۲. According to the membership functions of linguistic variables by experts, the value of ۴.۷۶ within a ۵-value range in the range defined for the "excellent" linguistic variable, i.e. the state of improving the alignment of IT with knowledge-based businesses in Tehran was obtained equal to ۰.۹۵۲ with a programming code [۰.۸۱۳; ۰.۸۲۴; ۰.۸۱۹; ۰.۸۱۲; ۰.۸۱۵].

Business process reengineering (BPR), Business-IT alignment, Knowledge-Based Businesses of Tehran, Intelligent Decision Support System (IDSS), Artificial Neural Networks (ANN)