Results 31 to 40 of about 15,252 (152)
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
Prototype Sistem Pakar untuk Mendeteksi Tingkat Resiko Penyakit Jantung Koroner dengan Metode Dempster-Shafer (Studi Kasus: RS. PKU Muhammadiyah YOGYAKARTA) [PDF]
The expert systems can serve as a consultant that gives advice to the users and at once as an assistant to the experts. One way to cope and help detect the risk level of one's coronary heart disease, is to create the expert system as media of ...
Prijodiprojo, W. (Widodo) +1 more
core
This figure illustrates the architecture of the PMCB fault diagnosis model with multi‐source heterogeneous cross‐modal fusion. It integrates core modules to realize high‐precision, low false‐alarm condition monitoring and diagnosis. ABSTRACT Aiming at the defects of current diagnosis methods for Primary and Secondary Integrated Pole Mounted Circuit ...
Rongrong Shan +3 more
wiley +1 more source
With respect to decision making problems under uncertainty, a trapezoidal intuitionistic fuzzy multiattribute decision making method based on cumulative prospect theory and Dempster-Shafer theory is developed.
Xihua Li, Fuqiang Wang, Xiaohong Chen
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Radar target classification using improved Dempster–Shafer theory
This study considers the problem of coarse classification of targets using multifunction radar. Several methods are available for classification such as decision trees, Dempster–Shafer, Bayes, neural networks, etc. A different approach to assign the mass
Parth Mehta +3 more
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Abstract Lithological mapping is essential for the exploration of critical minerals supporting energy transition and national defense. Although recent advancements have incorporated multi‐source data sets and leveraged machine learning and deep learning (DL) methods, lithological mapping continues to face significant challenges, such as data imbalance,
Liang Ding +3 more
wiley +1 more source
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 +3 more
wiley +1 more source
Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion
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
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Blockchain and Digital Technologies in the Telecommunications Industry
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 +3 more
wiley +1 more source
Third-party library selection in IT projects under imperfect data using Dempster–Shafer theory
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
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