Results 41 to 50 of about 14,479 (198)

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, Volume 6, Issue 1, Page 140-152, March 2026.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

Blockchain and Digital Technologies in the Telecommunications Industry

Thunderbird International Business Review, Volume 68, Issue 2, Page 139-163, March/April 2026.
ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia, Nuno Marques de Almeida, Joe Amad‐Echendu, Simplice A. Asongu   +3 more
wiley   +1 more source

Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion

Entropy, 2022
Dempster–Shafer evidence theory is widely used in modeling and reasoning uncertain information in real applications. Recently, a new perspective of modeling uncertain information with the negation of evidence was proposed and has attracted a lot of ...
Yongchuan Tang, Yong Chen, Deyun Zhou
doaj   +1 more source

Predictive processing's flirt with transcendental idealism

Noûs, Volume 60, Issue 1, Page 87-109, March 2026.
Abstract The popular predictive processing (PP) framework posits prediction error minimization (PEM) as the sole mechanism in the brain that can account for all mental phenomena, including consciousness. I first highlight three ambitions associated with major presentations of PP: (1) Completeness (PP aims for a comprehensive account of mental phenomena)
Tobias Schlicht
wiley   +1 more source

Third-party library selection in IT projects under imperfect data using Dempster–Shafer theory

Радіоелектронні і комп'ютерні системи
This study focuses on a method for selecting third-party libraries for IT projects, which involves systematizing evaluation criteria and applying Dempster–Shafer theory of evidence to model imperfect data.
Alexander Lysenko, Igor Kononenko
doaj   +1 more source

An Evidential Aggregation Method of Intuitionistic Fuzzy Sets Based on Belief Entropy

IEEE Access, 2019
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

IEEE Access, 2020
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, Yingjun Zhang, Xuemin Dong   +2 more
doaj   +1 more source

Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution

Transactions in GIS, Volume 30, Issue 1, February 2026.
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, Kristin Stock, Christopher B. Jones   +2 more
wiley   +1 more source

A New Belief Entropy Based on Deng Entropy

Entropy, 2019
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]

, 2014
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