Results 41 to 50 of about 25,372 (226)

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

A vector and geometry interpretation of basic probability assignment in Dempster‐Shafer theory

open access: yesInternational Journal of Intelligent Systems, 2020
Because of the superiority in dealing with uncertainty expression, Dempster‐Shafer theory (D‐S theory) is widely used in decision theory. In D‐S theory, the basic probability assignment (BPA) is the basis and core.
Ziyuan Luo, Yong Deng
semanticscholar   +1 more source

Trapezoidal Intuitionistic Fuzzy Multiattribute Decision Making Method Based on Cumulative Prospect Theory and Dempster-Shafer Theory

open access: yesJournal of Applied Mathematics, 2014
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
doaj   +1 more source

Radar target classification using improved Dempster–Shafer theory

open access: yesThe Journal of Engineering, 2019
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
doaj   +1 more source

Simultaneous Dempster-Shafer clustering and gradual determination of number of clusters using a neural network structure

open access: yes, 1999
In this paper we extend an earlier result within Dempster-Shafer theory ["Fast Dempster-Shafer Clustering Using a Neural Network Structure," in Proc. Seventh Int. Conf. Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'
Schubert, Johan
core   +3 more sources

SISTEM PAKAR DIAGNOSA DINI PENYAKIT GIGI DAN MULUT [PDF]

open access: yes, 2014
Gigi dan mulut adalah organ organ tubuh yang ada pada wajah .keduanya sangatlah vital keberadaannya oleh karenanya kesehatan kedua organ ini sangatlah penting .
Arif Senja Fitrani, M.Kom, Arif   +1 more
core  

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

open access: yesEntropy, 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

Prototype Sistem Pakar untuk Mendeteksi Tingkat Resiko Penyakit Jantung Koroner dengan Metode Dempster-Shafer (Studi Kasus: RS. PKU Muhammadiyah YOGYAKARTA) [PDF]

open access: yes, 2013
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  

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

open access: yesIEEE 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

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