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Understanding belief functions

2020
From the previous chapter’s summary of the basic notions of the theory of evidence, it is clear that belief functions are rather complex objects.
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Functional Self-Efficacy Beliefs Influence Functional Capacity Evaluation

Journal of Occupational Rehabilitation, 2007
The relationship between functional self-efficacy and Functional Capacity Evaluation (FCE) lift performance was examined in workers' compensation claimants' with low back pain.A cross-sectional design was used. Forty-two claimants with back pain and 38 subjects without back pain were enrolled.
Alexander K, Asante   +2 more
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Belief functions versus probability functions

1988
Two models are proposed to quantify someone's degree of belief, based respectively on probability functions, the Bayesian model, and on belief functions, the transferable belief model (Shafer 1976). The first, and by far the oldest, is well established and supported by excellent axiomatic and behaviour arguments.
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Investigation of activation functions in deep belief network

2017 2nd International Conference on Control and Robotics Engineering (ICCRE), 2017
Deep Belief Network (DBN) is made up of stacked Restricted Boltzmann Machine layers associated with global weight fine-tuning for pattern recognition. However, DBN suffers from vanishing gradient problem due to the saturation characteristic of activation
Mian Mian Lau, K. Lim
semanticscholar   +1 more source

Implementing belief function computations

International Journal of Intelligent Systems, 2003
Summary: This article discusses several implementation aspects for Dempster-Shafer belief functions. The main objective is to propose an appropriate representation of mass functions and efficient data structures and algorithms for the two basic operations of combination and marginalization.
Haenni, Rolf, Lehmann, Norbert
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Belief Function Correction Mechanisms

2010
Different operations can be used in the theory of belief functions to correct the information provided by a source, given metaknowledge about that source. Examples of such operations are discounting, de-discounting, extended discounting and contextual discounting. In this article, the links between these operations are explored.
Mercier, David   +2 more
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Using Belief Functions to Represent Degrees of Belief

Organizational Behavior and Human Decision Processes, 1994
Abstract Belief functions are an alternative or supplement to probabilities for representing the degree to which we believe in various hypotheses, highlighting different aspects of subjects′ uses of evidence. In particular, belief functions have potential for situations in which the belief assessor is interested in judging the degree of support or ...
Shawn P. Curley, James I. Golden
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A distance for belief functions of orderable set

Pattern Recognition Letters, 2021
Cuiping Cheng, Fuyuan Xiao
semanticscholar   +1 more source

Reasoning with belief functions

2020
Belief functions are fascinating mathematical objects, but most of all they are useful tools designed to achieve a more natural, proper description of one’s uncertainty concerning the state of the external world.
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Introduction to Belief Functions

2002
This chapter introduces a theoretical perspective that may be used in business research and practice when confronting decision tasks that involve uncertainly. The main body of the chapter is an introduction to Belief Functions. The introduction includes a discussion of the fundamental constructs and then illustrates the use of belief functions in a ...
Rajendra P. Srivastava, Theodore J. Mock
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