Decision Sciences: Theory and Practice

This text focuses on different mathematical, statistical, and quantitative tools for solving a variety of theoretical as well as practical decision analysis problems. It covers a whole gamut of interesting ideas starting from robust optimization, multi-criteria decision making, meta-heuristic techniques, project management, and more. It also includes chapters related to networks and game theory, time series analysis, volatility modeling, queuing and scheduling theory, ANN, DSS, and different statistical tools in this two-volume handbook.