Chapter 1. A disaggregate hierarchical decision Huff model incorporating consumer Kaiyu choices among shopping sites -- Chapter 2. A dynamical Huff model: Computing the competitive equilibrium distribution of shop floor areas over a city center commercial district using the Fixed-Point Algorithm...

Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data,...

Chapter 1 System Science -- Chapter 2 Decision-Making Methods -- Chapter 3 Prediction Methods -- Chapter 4 Evaluation Methods -- Chapter 5 Optimization Algorithm -- Chapter 6 System Reliability -- Chapter 7 Game Theory -- Chapter 8 Management Simulation -- Chapter 9 Complexity Science.-Chapter...