Results 31 to 40 of about 6,464,053 (197)

Modeling Partially Reliable Information Sources: A General Approach Based on Dempster-Shafer Theory [PDF]

open access: yes, 2005
Combining testimonial reports from independent and partially reliable information sources is an important problem of uncertain reasoning. Within the framework of Dempster-Shafer theory, we propose a general model of partially reliable sources which ...
Haenni, R, Hartmann, Stephan
core   +2 more sources

Video Event Recognition by Dempster-Shafer Theory [PDF]

open access: yes, 2014
. This paper presents an event recognition framework, based on Dempster-Shafer theory, that combines evidence of events from low-level computer vision analytics.
Hong, Xin   +5 more
core   +3 more sources

Interpretable Clustering Using Dempster-Shafer Theory [PDF]

open access: yesJournal of Universal Computer Science
This study presents DSClustering, a novel algorithm that merges clustering validity with interpretability using the Dempster-Shafer theory. Traditional clustering methods like K-means, DBSCAN, and agglomerative clustering, while widely used for their ...
Aram Adamyan   +4 more
doaj   +3 more sources

Research on the Circuit Breaker State Judgment Method Based on Ant Colony Optimization Dempster-Shafer Evidence Theory

open access: yesComputation
The paper proposes a method for circuit breaker state judgment based on ant colony algorithm-optimized Dempster-Shafer evidence theory.It can improve the accuracy and robustness of state judgment.
Qian Zhang   +6 more
doaj   +1 more source

Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective [PDF]

open access: yesKnowledge-Based Systems, 2018
We revisit logistic regression and its nonlinear extensions, including multilayer feedforward neural networks, by showing that these classifiers can be viewed as converting input or higher-level features into Dempster–Shafer mass functions and ...
T. Denoeux
semanticscholar   +1 more source

Locating Facilities in Uncertainty Conditions based on D Number Theory [PDF]

open access: yesچشم‌انداز مدیریت صنعتی, 2016
Organizational senior managers decide about Facility location under uncertainty   and lack of enough Information, while the decision is time consuming, scientific and strategic. To select the optimal facility location, scholars have proposed a variety of
Reza Shaikh, Hanieh Shambaiati
doaj  

Place Classification using Dempster-Shafer Theory

open access: yesFoundations of Computing and Decision Sciences, 2017
The paper presents a novel place labeling method. It is assumed that an indoor mobile robot equipped with a camera or RGB-D sensor ambulates an indoor environment. The places visited by the robot are classified based on objects which have been recognized.
Siemiątkowska Barbara   +1 more
doaj   +1 more source

Stock portfolio selection using Dempster–Shafer evidence theory

open access: yesJournal of King Saud University: Computer and Information Sciences, 2018
Markowitz’s return–risk model for stock portfolio selection is based on the historical return data of assets. In addition to the effect of historical return, there are many other critical factors which directly or indirectly influence the stock market ...
Gour Sundar Mitra Thakur   +2 more
doaj   +1 more source

An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers

open access: yesEnergies, 2016
The power transformer is one of the most critical and expensive components for the stable operation of the power system. Hence, how to obtain the health condition of transformer is of great importance for power utilities. Multi-attribute decision-making (
Lingjie Sun   +5 more
doaj   +1 more source

The Evaluation on Development Quality of Open Education Based on Dempster-Shafer With Multigranularity Unbalanced Hesitant Fuzzy Linguistic Information for Chinese Case

open access: yesIEEE Access, 2022
Multi-granularity unbalanced hesitant fuzzy linguistic term set (MGUHFLTS) is an effective expression of linguistic information, which applied in multi-attribute group decision-making (MAGDM), meanwhile Dempster-Shafer evidence theory (DSET) is profound ...
Lili Rong
doaj   +1 more source

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