scholarly journals Logics with lower and upper probability operators

2017 ◽  
Vol 88 ◽  
pp. 148-168 ◽  
Author(s):  
Nenad Savić ◽  
Dragan Doder ◽  
Zoran Ognjanović
Author(s):  
H. TORABI ◽  
B. DAVVAZ ◽  
J. BEHBOODIAN

In some probabilistic problems, complete information about the probability model may not exist. In this article, we obtain a lower and upper probability for an arbitrary event by using rough set theory and then a measurement for inclusiveness of events is introduced.


Author(s):  
Zoran Marković ◽  
Miodrag Rašković

2010 ◽  
Vol 5 (11) ◽  
pp. 916-937 ◽  
Author(s):  
Seth Yalcin

2019 ◽  
Vol 17 (1) ◽  
pp. 282-296 ◽  
Author(s):  
Guorong Zhou ◽  
Qing-Bo Cai

Abstract Based on the relationship between probability operators and curve/surface modeling, a new kind of surface modeling method is introduced in this paper. According to a kind of bivariate Meyer-König-Zeller operator, we study the corresponding basis functions called triangular Meyer-König-Zeller basis functions which are defined over a triangular domain. The main properties of the basis functions are studied, which guarantee that the basis functions are suitable for surface modeling. Then, the corresponding triangular surface patch called a triangular Meyer-König-Zeller surface patch is constructed. We prove that the new surface patch has the important properties of surface modeling, such as affine invariance, convex hull property and so on. Finally, based on given control vertices, whose number is finite, a truncated triangular Meyer-König-Zeller surface and a redistributed triangular Meyer-König-Zeller surface are constructed and studied.


2015 ◽  
Vol 54 ◽  
pp. 471-492
Author(s):  
Joseph Y. Halpern

Recently, Halpern and Leung suggested representing uncertainty by a set of weighted probability measures, and suggested a way of making decisions based on this representation of uncertainty: maximizing weighted regret. Their paper does not answer an apparently simpler question: what it means, according to this representation of uncertainty, for an event E to be more likely than an event E'. In this paper, a notion of comparative likelihood when uncertainty is represented by a set of weighted probability measures is defined. It generalizes the ordering defined by probability (and by lower probability) in a natural way; a generalization of upper probability can also be defined. A complete axiomatic characterization of this notion of regret-based likelihood is given.


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