Cumulative Dominance and Heuristic Performance in Binary Multi - Attribute Choice
Several studies have reported high performance of simple decision heuristics in multi-attribute decision making. In this working paper, we focus on situations where attributes are binary and analyze the performance of Deterministic-Elimination-By-Aspects (DEBA) and similar decision heuristics. We considernon-increasing weights and two probabilistic models for the attribute values: one where attribute values are independent Bernoulli random variables; the other one where they are binary random variables with inter-attribute positive correlations. Using these models, we show that good performance of DEBA is explained by the presence of cumulative as opposed to simple dominance. Wether efore introduce the concepts of cumulative dominance compliance and fully cumulative dominance compliance and show that DEBA satisfies those properties. We derive a lower bound with which cumulative dominance compliant heuristics will choose a best alternative and show that, even with many attributes, this is not small. We also derive an upper bound for the expected loss of fully cumulative compliance heuristics and show that this is moderate even when the number of attributes is large. Both bounds are independent of the values of the weights.
|Date of creation:||Oct 2006|
|Contact details of provider:|| Postal: Plaza de San Nicolás, 4, 48005 Bilbao|
Phone: +34 94 487 52 52
Fax: +34 94 424 46 21
Web page: http://www.fbbva.es
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fbb:wpaper:201047. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Fundacion BBVA / BBVA Foundation)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.