Big Data Analytics Using Multiple Criteria Decision-Making Models

Ramakrishnan Ramanathan, Muthu Mathirajan, A. Ravi Ravindran

• Publisher: CRC Press
• Year: 2017
• Print ISBN: 9780367846992
• eBook ISBN: 9781351648691
• Topic: Computer Science
• Subtopic: Data Mining
• Index: Computer Science

Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.

1

Multicriteria Leadership and Decisions: Festschrift in Honor of Ravi Ravindran

A. B. Badiru

Contents

1.1Background

1.2The Tinker Projects

1.3Reprint of a Tinker Project Article

1.4Conclusion

References

1.1Background

I completed my PhD in industrial engineering at the University of Central Florida (UCF) in Orlando, Florida in December 1984, which was an off-season PhD completion cycle for the purpose of securing academic positions. The graduation ceremony at UCF was on Friday, December 14, 1984. Having been offered a job, bigheartedly, by Ravi, my wife and I packed up and set out for Norman, Oklahoma with our two young children the same afternoon after the graduation ceremony. After 3 days of driving a combination of a U-Haul Truck and our old family car, we arrived in Norman on Monday, December 17 in the morning. I called Ravi that I had arrived in town and he immediately informed me that the last department meeting of the year was taking place that very afternoon and he would like me to attend. Casual as that invitation might seem, it said a lot about the caliber of the go-getter that Ravi was and still is. Ravi never missed an early opportunity to put us to work constructively as a way to start building our faculty profiles on our match toward earning tenure at the University of Oklahoma. Although I declined to attend that meeting, partly because I was tired from the long road trip and partly because I feared getting to work right away, that engagement opened my eyes to the need to be ready to take advantage of Ravi’s mentoring ways. He would cajole, persuade, entice, and or coax the young assistant professors under his charge into pursuing the latest line of research and journal publications. He got us engaged in funded projects to expose us to the world of pursuing funded projects, writing proposals, and executing projects. He would come to our offices and inquired what we were working on and whether we were aware of some latest opportunity out there for a funded project or a journal publication. At that time, we did not see the value of his inquisitive ways. It was later that we realized how much his gentle prying would put on a solid platform of becoming successful tenured professors. In fact, we, the assistant professors, often joked among ourselves that if we see Ravi coming down the hallway, we would go the other way because each time you meet him, he would have a new idea of something new and worthwhile for us to be doing.

Ravi’s altruistic disposition was evident in the fact that he offered me a job at all. At that time, I was still on a student visa and not many departments were eager to make academic appointments without an existing “green card” or an official work permit. Ravi was among the handful of department heads willing to go out on a limb to offer jobs to inexperienced foreign students. Ravi took a chance with my offer and I am greatly appreciative of that opportunity. Even today, whenever I strive to achieve an even loftier goal, I, subconsciously, credit the endeavor to a justification of the incipient opportunity that Ravi gave me so long ago in 1984.

1.2The Tinker Projects

The multicriteria leadership of Professor Ravi Ravindran led to many exciting times in the Industrial Engineering Department at the University of Oklahoma. The most notable of these were the series of projects we did under contract for Tinker Air Force Base in Oklahoma City. Ravi brought me into his Tinker research team in 1985, my first year at the University. The project won us international acclaim and many awards and helped launch our academic careers on a positive trajectory. The primary publications that emanated from the projects are the six references cited in this contribution (Ravindran et al., 1988, 1989; Foote et al., 1988, 1992; Leemis et al., 1990; Badiru et al., 1993). Several other publications followed these six primary articles. It is noteworthy that Ravindran et al. (1989) was recognized as one of the 20 best papers of the decade published in TIMS Interfaces (1980–1990). The “Tinker Projects,” as they were affectionately called, culminated in the team’s international recognition with the 1988 Finalist Achievement Award for the Franz Ede...

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• Preface
• Editors
• Acknowledgments
• Contributors
• 1. Multicriteria Leadership and Decisions: Festschrift in Honor of Ravi Ravindran
• 2. Multi-Criteria Decision Making: An Overview and a Comparative Discussion
• 3. Basics of Analytics and Big Data
• 4. Linear Programming (LP)-Based Two-Phase Classifier for Solving a Classification Problem with Multiple Objectives
• 5. Multicriteria Evaluation of Predictive Analytics for Electric Utility Service Management
• 6. Multiobjective Forecasting: Time Series Models Using a Deterministic Pseudo-Evolutionary Algorithm
• 7. A Class of Models for Microgrid Optimization
• 8. A Data-Driven Approach for Multiobjective Loan Portfolio Optimization Using Machine-Learning Algorithms and Mathematical Programming
• 9. Multiobjective Routing in a Metropolitan City with Deterministic and Dynamic Travel and Waiting Times, and One-Way Traffic Regulation
• 10. Designing Resilient Global Supply Chain Networks over Multiple Time Periods within Complex International Environments
• 11. MCDM-Based Modeling Framework for Continuous Performance Evaluation of Employees to Offer Reward and Recognition
• 12. Use of DEA for Studying the Link between Environmental and Manufacturing Performance
• 13. An Integrated Multicriteria Decision-Making Model for New Product Portfolio Management
• Index