Axiomatization of a Preference for Most Probable Winner
نویسندگان
چکیده
منابع مشابه
Axiomatization of a Preference for Most Probable Winner
1 L to lottery 2 L when the probability that 1 L delivers a better outcome than 2 L is higher than the probability that 2 L delivers a better outcome than 1 L . Such a preference can be rationalized by three standard axioms (completeness, continuity and first order stochastic dominance) and two less standard ones (weak independence and a fanning-in). A preference for the most probable winner ca...
متن کاملHospital Choice for Cataract Treatments: The Winner Takes Most
Background Transparency in quality of care is an increasingly important issue in healthcare. In many international healthcare systems, transparency in quality is crucial for health insurers when purchasing care on behalf of their consumers, for providers to improve the quality of care (if necessary), and for consumers to choose their provider in case treatment is needed. Conscious consume...
متن کاملMost Probable Explanations for Probabilistic Database Queries
Forming the foundations of large-scale knowledge bases, probabilistic databases have been widely studied in the literature. In particular, probabilistic query evaluation has been investigated intensively as a central inference mechanism. However, despite its power, query evaluation alone cannot extract all the relevant information encompassed in large-scale knowledge bases. To exploit this pote...
متن کاملAn Axiomatization of Conditional Possibilistic Preference Functionals
The aim of the paper is to extend the Savage like axiomatization of possibilistic preference functionals in qualitative decision theory to conditional acts, so as to make a step towards the dynamic decision setting. To this end, the de Finetti style approach to conditional possibility recently advocated by Coletti and Vantaggi is exploited, extending to conditional acts the basic axioms pertain...
متن کاملAn iterative method for forecasting most probable point of stochastic demand
The demand forecasting is essential for all production and non-production systems. However, nowadays there are only few researches on this area. Most of researches somehow benefited from simulation in the conditions of demand uncertainty. But this paper presents an iterative method to find most probable stochastic demand point with normally distributed and independent variables of n-dime...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2005
ISSN: 1556-5068
DOI: 10.2139/ssrn.664441