Decision theory is concerned with the descriptive and prescriptive analyses of human decision making. Such decision making is of course very difficult given partial or inaccurate information, but it is also difficult to model and predict. Human decision making is of interest in philosophy, psychology, economics, computer science, and other academic disciplines, but it is also of much relevance in practical settings such as the stock market, disaster recovery, and sports.

Granular computing is a paradigm of information processing, largely using statistical methods and fuzzy set theory, that considers information at an appropriate level of abstraction, such as by ignoring small differences in variable values that are seen, or thought, to have no significant consequence.

This book is an edited anthology of writings by various sets of authors who propose the use of granular computing in modeling decision making in various domains and settings. The book consists of 14 chapters, with titles such as “Granularity Helps Explain Seemingly Irrational Features of Human Decision Making,” “Using Computing with Words for Managing Non-Cooperative Behaviors in Large Scale Group Decision Making,” and “Spatial-Taxon Information Granules as Used in Iterative Fuzzy Decision-Making for Image Segmentation.” Depending on a reader’s interest, some may be more attractive than others (this perhaps also applies to the quality of the writing, which is better in some cases than in others).