Results 51 to 60 of about 6,464,053 (197)
Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
ABSTRACT The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points‐of‐interest (POIs) has been widely addressed, resolution of entities with diverse geometries has been largely overlooked.
Kalana Wijegunarathna +2 more
wiley +1 more source
An Evidential Aggregation Method of Intuitionistic Fuzzy Sets Based on Belief Entropy
Intuitionistic fuzzy sets (IFSs) are essential in the multi-criteria decision making (MCDM) under uncertain environment. However, how to reasonably aggregate them with considering the uncertainty contained in the IFSs is still an open issue.
Zeyi Liu, Fuyuan Xiao
doaj +1 more source
An Extended Intuitionistic Fuzzy Cognitive Map via Dempster-Shafer Theory
Fuzzy cognitive map has gradually emerged as a powerful paradigm for uncertain knowledge representation and a simulation mechanism that is applicable in dealing with complex artificial reasoning problems.
Zhuosheng Jia +2 more
doaj +1 more source
Ignorance in the Relational Model [PDF]
We hypothesize that an extension-with-conditioning of Dempster-Shafer theory is suitable for encoding uncertainty and ignorance in the Relational Model.
Fokkinga, Maarten M.
core +1 more source
ABSTRACT High‐entropy alloys (HEAs) have emerged as a transformative class of materials distinguished by their complex chemical compositions, unique microstructures, and remarkable mechanical and functional properties. Traditionally, the discovery and optimization of HEAs have relied on conventional methods, including trial‐and‐error experimentation ...
Chrispin Ouko Zamzu +2 more
wiley +1 more source
A New Belief Entropy Based on Deng Entropy
For Dempster−Shafer evidence theory, how to measure the uncertainty of basic probability assignment (BPA) is still an open question. Deng entropy is one of the methods for measuring the uncertainty of Dempster−Shafer evidence.
Dan Wang, Jiale Gao, Daijun Wei
doaj +1 more source
Generalized Evidence Theory [PDF]
Conflict management is still an open issue in the application of Dempster Shafer evidence theory. A lot of works have been presented to address this issue. In this paper, a new theory, called as generalized evidence theory (GET), is proposed.
Deng, Yong
core
Assessing the Usefulness of Assurance Cases: Experience With the Large Hadron Collider
ABSTRACT Assurance cases (ACs) are structured arguments designed to show that a system is sufficiently reliable to function properly in its operational environment. They are mandated by safety standards and are largely used in industry to support risk management for systems; however, ACs often contain proprietary information and are not publicly ...
Torin Viger +7 more
wiley +1 more source
Partial Discharge Pattern Recognition Based on Time‐Frequency Multi‐Scale Residual Attention Network
A time‐frequency multi‐scale residual attention network (TFMRAnet) was designed to analyze partial discharge (PD) signals. The network comprises an adaptive denoising network based on multi‐scale residual attention, a frequency‐domain recognition network, and a decision fusion module based on Dempster‐Shafer (D‐S) evidence theory.
Yunguang Gao +4 more
wiley +1 more source
A new model for threat assessment in data fusion based on fuzzy evidence theory
In this paper a new method for threat assessment is proposed based on Fuzzy Evidence Theory. The most widely classical and intelligent methods used for threat assessment systems will be Evidence or Dempster Shafer and Fuzzy Sets Theories.
Ehsan Azimirad, Javad Haddadnia
doaj +1 more source

