Models of best–worst choice and ranking among multiattribute options (profiles)

On Ranking and Choice Models

In today’s big data era, huge amounts of ranking and choice data are generated on a daily basis, and consequently, many powerful new computational tools for dealing with ranking and choice data have emerged in recent years. This paper highlights recent developments in two areas of ranking and choice modeling that cross traditional boundaries and are of multidisciplinary interest: ranking from p...

Sequential Search with Multiattribute Options

We describe a search problem in which a decision maker (DM) must select several sequentially-encountered options. Each option is described by multiple attributes, and the value of an option is given by a function of its attribute values. However, the attribute values are not known with certainty, and can only be ascertained in a predefined order, at some fixed cost. During the search the DM can...

Object Representation in Multiattribute Choice

We propose a theoretical framework for understanding how everyday choice objects are represented and how decisions involving these objects are made. Our framework combines insights regarding object and concept representation in semantic memory research with multiattribute choice rules proposed by scholars of decision making. We also outline computational techniques for using our framework to qu...

Consumer choice among health insurance options.

Some Probabilistic Models of Simple Choice and Ranking

Of the major areas into which experimental psychology has been traditionally partitioned, motivation is the least well understood and systematized. This is true whether we consider theory, experimental paradigms or experimental results. Moreover, of the various notions usually considered to be primarily motivational, preference is the only one that mathematical psychologists have attempted to a...