معرفی
Chris Tofallis is a Reader in Decision Science at the Hertfordshire Business School, University of Hertfordshire. He holds a PhD, MSc(Econ), BSc, and PGCE. His research focuses on developing transparent quantitative methods for decision-making, including neutral data fitting, ranking methodologies, and unbiased forecasting techniques. His work emphasizes practical simplicity to enhance applicability in fields like healthcare management, sports analytics, and policy evaluation.
Education:
- PhD
- MSc(Econ)
- BSc
- PGCE
Research Interests:
Tofallis specializes in multiple criteria analysis, performance measurement, and model fitting. He has pioneered methods such as the Automatic Democratic Method for objective scoring and Least Squares Percentage Regression. His work bridges theoretical rigor with real-world applications, addressing challenges in healthcare capacity planning, legislative performance evaluation, and sports scoring systems. Recent projects include predictive analytics for emergency services and integrated hospital decision support systems using discrete event simulation.
Key Contributions:
- Developed Neutral Data Fitting and Maximum Correlation Model Building
- Advanced unbiased forecasting via relative error minimization
- Contributed to healthcare resource allocation frameworks
Grants & Collaborations:
His collaborations span healthcare systems optimization and policy analysis, with notable work on hospital capacity modeling and geriatric care bed management. Tofallis also edits the Hertfordshire Business School Working Papers series.
