9Identification of User Preference Using Human–Computer Interaction Technologies and Design of Customized Reporting for Business Analytics Using Ranking Consistency Index
Martin Aruldoss1*, Miranda Lakshmi Travis2 and Prasanna Venkatesan Venkatasamy3
1Department of Computer Science, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India
2PG and Research Department of Computer Science, St. Joseph’s College (Autonomous), Cuddalore, Tamil Nadu, India
3Dept. of Banking Technology, Pondicherry University, Puducherry, India
Abstract
Business intelligence (BI) provides a comprehensive solution for organizations to make better decisions. Reporting is one of the important functionalities of BI, which provides vital information for decision-making. Due to the extreme growth of information, designing customized reporting according to user level and requirement in an organization is the present challenge of the information analysis system. To develop a well-organized customized reporting, user preference with respect to different criteria (conditions) should be identified. Multi-criteria reporting (MCR) is one of the special kinds of customized reporting that customizes the information according to user preference and criteria. In MCR, preference of information differs from one user to another user and it is identified using Multi-Criteria Decision Making (MCDM) techniques. General Fuzzy TOPSIS (GFTOPSIS) is one of the MCDM techniques, and its working procedure consists of a ...
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