Entropy and Specificity in a Mathematical Theory of Evidence

Author(s):  
Ronald R. Yager
AIChE Journal ◽  
1987 ◽  
Vol 33 (11) ◽  
pp. 1930-1932 ◽  
Author(s):  
S. Narasimhan ◽  
Chen Shan Kao ◽  
R. S. H. Mah

Biometrics ◽  
1976 ◽  
Vol 32 (3) ◽  
pp. 703 ◽  
Author(s):  
A. F. M. Smith ◽  
Glenn Shafer

2016 ◽  
Vol 39 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Marek Stawowy ◽  
Zbigniew Kasprzyk ◽  
Andrzej Szmigiel

Abstract The work describes the impact the reliability of the information quality IQ for information and communication systems. One of the components of IQ is the reliability properties such as relativity, accuracy, timeliness, completeness, consistency, adequacy, accessibility, credibility, congruence. Each of these components of IQ is independent and to properly estimate the value of IQ, use one of the methods of modeling uncertainty. In this article, we used a hybrid method that has been developed jointly by one of the authors. This method is based on the mathematical theory of evidence know as Dempstera-Shafera (DS) theory and serial links of dependent hybrid named IQ (hyb).


1988 ◽  
Vol 2 (4) ◽  
pp. 415-433 ◽  
Author(s):  
Jürg Kohlas

The mathematical theory of evidence (Shafer et al. [9]) has recently found much interest as an approach to treat uncertainty in expert and knowledge-based systems. Although the theory is very promising, there are not yet many practical applications. Modeling practice has still to be developed. This is a crucial task in view of facilitating the application of evidential modeling. It is the aim of this paper to discuss an important element of evidential modeling–conditional belief–within the scope of the mathematical theory of evidence.


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