ABSTRACT
4In business intelligence (BI) and big data analytics, computational intelligence (CI) paradigms have been adopted as an intelligent decision support system for prediction and optimization in a variety of applications. The traditional data analysis approaches are lacking in efficiency, have a limited computational capability, and have an inadequate and imprecise nature of handling unstructured data. However, CI methodologies have a high computational efficiency to integrate, explore, and share a high volume of unstructured data in real time, using diverse analytical techniques for enhanced decision making. Further, CI has the capability to implement complex data via sophisticated mathematical models and analytical techniques. This chapter illustrates a short overview of CI approaches and its noteworthy character in BI and data analytics. The focus of this chapter is to study and analyze the effect of CI for the overall advancement of emerging intelligent decision support systems.
