Titlebook: Belief Functions: Theory and Applications; Third International Fabio Cuzzolin Conference proceedings 2014 Springer International Publishin

ALLAY

fatty-acids

Training and Evaluating Classifiers from Evidential Data: Application to , Decision Tree Pruning some parts of the learning or the inference process, yet seldom in the whole process. Also, most of the proposed approach still evaluate their results on precisely known data. However, there are no reason to assume the existence of such data in applications, hence the need for assessment method wor

空氣

Reflections on DS/AHP: Lessons to Be Learntess (AHP). Since its introduction it has been developed and applied by a number of authors, as well as form the foundation for other DST related MCDM techniques. This paper reviews the evolution and impact of DS/AHP, culminating in a critical perspective, over relevant criteria, namely i) Ease of un

ambivalence

Evidential Database: A New Generalization of Databases?major existing databases is described. The reminder of the paper aims to prove the importance of using evidential databases in case of handling imperfect information. The evidential database generalizes several ones by the use of specific Basic Belief Assignments. In addition, we show that the preci

拱形面包

Belief Approach for Social Networksher people according to the links connecting us. Moreover, given the large volume of exchanged messages, detecting the true nature of the received message becomes a challenge. For this purpose, it is interesting to consider this new tendency with reasoning under uncertainty by using the theory of be

CAB

Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETs communications. In order to take into account messages ageing, a reinforcement mechanism considering that events disappear over the time is compared to the discounting mechanism. Two strategies for messages management are also emphasized: a first one where each message is stored and sent when possi

appall

Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled Peoplbe accessible to them. Our approach is based on the theory of belief functions, using data which are supplied by reports produced by automatic web content assessors that test the validity of criteria defined by the WCAG 2.0 guidelines proposed by the World Wide Web Consortium (W3C) organization. The

BROTH

Belief Reasoning Model for Mapping Public Participation in Transport Planning made to achieve project’s goals and meet public needs. In public inquiries of transport planning process, policy-makers engage in dialogue in which the reasonableness and beliefs in their judgments are often questioned. Different stakeholders reason and provide evidence in support of their preferen

詞匯

Some Notes on Canonical Decomposition and Separability of a Belief Functionble support function have been analyzed, the problem that how to judge whether a belief function is separable has not been solved. Through the canonical decomposition, any belief function could be decomposed into a set of generalized simple support functions. A judgment could be made from the decomp

remission

A Relational Representation of Belief Functionsse the number of subsets increases exponentially as the frame size increases. In this paper, I propose representing a subset as an integer, and reduce set operations to bitwise operations. I show the superiority of such a representation and demonstrate how, despite its simplicity, the technique has