Given the difficulties people experience in making trade-offs, what are the consequences of using simplemodels that avoid trade-offs? We examine choices by such models in environments where “true ” preferences are linear and attributes are characterized by binary attributes. A deterministic elimination-by-aspects (DEBA) model is highly effective over a range of conditions. When preferences are quite compensatory, however, a modified equal weighting (EW) model that uses DEBA to resolve ties is more effective. We explore the sensitivity of results to errors in using DEBA, to different distributions of alternatives, and to error in “true ” preferences. Under the conditions examined here, the outcomes of these “boundedly rational ” models are h...
An important problem in descriptive and prescriptive research in decision making is to identify “reg...
In Tversky's (1969) model of a lexicographic semiorder, a preference is generated via the sequential...
AbstractResearch work on modeling consumer multiple choice problems using logit, regression, and pro...
Simple heuristics, such as deterministic elimination by aspects (DEBA) and equal weighting of attrib...
textThis dissertation consists of three research papers on Preference models of decision making, all...
Tight upper bounds for the expected loss of the DEBA (Deterministic-Elimination-By-Aspects) lexicogr...
We theoretically compare and contrast two commonly used types of choice strategies in a riskless, mu...
The effectiveness of decision rules depends on characteristics of both rules and environments. A the...
Tight upper bounds for the expected loss of the DEBA (Deterministic-Elimination-By-Aspects) lexicogr...
Several studies have reported high performance of simple decision heuristics in multi-attribute deci...
Since the pioneering work by Daniel McFadden, utility-maximization-based multinomial response models...
AbstractThe automatic generation of an explanation of the prescription made by a multi-attribute dec...
In this article we present a method of multi-attribute choice, based on an application of linear pro...
Guided decision processes improve decisions by employing personalized rules that are simple and perf...
Several studies have reported high performance of simple decision heuristics in multi-attribute deci...
An important problem in descriptive and prescriptive research in decision making is to identify “reg...
In Tversky's (1969) model of a lexicographic semiorder, a preference is generated via the sequential...
AbstractResearch work on modeling consumer multiple choice problems using logit, regression, and pro...
Simple heuristics, such as deterministic elimination by aspects (DEBA) and equal weighting of attrib...
textThis dissertation consists of three research papers on Preference models of decision making, all...
Tight upper bounds for the expected loss of the DEBA (Deterministic-Elimination-By-Aspects) lexicogr...
We theoretically compare and contrast two commonly used types of choice strategies in a riskless, mu...
The effectiveness of decision rules depends on characteristics of both rules and environments. A the...
Tight upper bounds for the expected loss of the DEBA (Deterministic-Elimination-By-Aspects) lexicogr...
Several studies have reported high performance of simple decision heuristics in multi-attribute deci...
Since the pioneering work by Daniel McFadden, utility-maximization-based multinomial response models...
AbstractThe automatic generation of an explanation of the prescription made by a multi-attribute dec...
In this article we present a method of multi-attribute choice, based on an application of linear pro...
Guided decision processes improve decisions by employing personalized rules that are simple and perf...
Several studies have reported high performance of simple decision heuristics in multi-attribute deci...
An important problem in descriptive and prescriptive research in decision making is to identify “reg...
In Tversky's (1969) model of a lexicographic semiorder, a preference is generated via the sequential...
AbstractResearch work on modeling consumer multiple choice problems using logit, regression, and pro...