That explains why there is not as much traditional Decision Theory in the book as one would expect from the title, such as Peter C. Fishburn's work, issues in MAUT and MCDM, seminal work by Bouyssou, Vincke, Pirlot, Keeney, or the older discussions about SEU vs. EU, evidential vs. causal decision theory, etc.

It's a rather technical book, focusing on issues like advanced sensor data fusion, control theory, and optimization. Not that there is anything wrong with that, the title is just slightly misleading.