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Fuzzy evidence theory

WebFirstly, extended fuzzy logic is used to calculate the basic fault probability distribution of dissolved gas in transformer oil and iron core grounding online monitoring data, and then use Dempster-Shafer evidence theory to fuse multi-source information on the basic probability of various types of faults to obtain a transformer fault diagnosis model. The … WebA Mathematical Theory of Evidence 1976 Princton Princeton Univ. Press 10.1515/9780691214696 0359.62002 Google Scholar Cross Ref; 14 Classic Works of the Dempster–Shafer Theory of Belief Functions, Yager, R.R. and Liping, L., Eds., Studies in Fuzziness and Soft Computing, vol. 219, Berlin: Springer, 2008.

New ranking model with evidence theory under …

WebFor this study fuzzy evidence theory weightage method “Dempster’s Shafer’s (D-S)” is applied to determine the Pavement Condition Distress Index (PCDI) of flexible pavement. D-S theory ... WebJan 15, 2024 · This paper proposes a novel ranking model under probabilistic hesitant fuzzy set (PHFS) by extending the idea of evidence theory (ET). PHFS is a strong var New … customer care associate geisinger https://tipografiaeconomica.net

Improved Dempster–Shafer Evidence Theory for Tunnel Water …

WebIn 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 … WebIn evidence theory, conflicting evidence and fuzzy evidence have a significant impact on the results of evidence combi-nation. Nevertheless, the existing weight assignment methods can hardly reflect the significant influence of fuzzy evidence on the combination results. In this paper, we address this issue by proposing a new method for ... WebIt uses most recent experiences or evidence to improve its performance through a variety of learning schemas, that for practical implementation must ... Part II is devoted to fuzzy … chateau beausejour becot winedecider

Quantum Pythagorean Fuzzy Evidence Theory: A …

Category:Target threat assessment using fuzzy sets theory - ResearchGate

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Fuzzy evidence theory

Joint Use of Neural Networks and Evidence Theory Methods in …

WebJun 16, 2024 · In evidence theory, conflicting evidence and fuzzy evidence have a significant impact on the results of evidence combination. Nevertheless, the existing weight assignment methods can hardly reflect the significant influence of fuzzy evidence on the combination results. In this paper, we address this issue by proposing a new method for … WebOct 3, 2005 · The method relies on the combined use of evidence theory and fuzzy logic. In this framework, X-ray and ultrasonic inspection is modeled using fuzzy sets and mass …

Fuzzy evidence theory

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WebIn this article, a novel methodology is proposed for QRA by combining fuzzy set theory and evidence theory with Bayesian networks to describe the uncertainties, aggregate … WebApr 23, 2015 · This paper addresses the issue of probability estimation in the framework of IF evidence theory with the hope of making rational decision. Background knowledge …

WebAug 1, 2015 · The commonly used theories include attribute decision-making method, fuzzy reasoning, D-S evidence theory, grey correlation method, TOPSIS method, Bayesian network, and game theory. WebI. Burhan Türkşen, in An Ontological and Epistemological Perspective of Fuzzy Set Theory, 2006. 17.3.2 Investigation of Meta-Linguistic Axioms. In fuzzy theory and its applications …

Web1 day ago · A new Bayesian network model for risk assessment based on cloud model, interval type-2 fuzzy sets and improved D-S evidence theory. Information Sciences (2024) C. Wan et al. An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks.

WebJan 13, 2024 · Fuzzy evidence theory captures all three types of uncertainty; fuzziness, non-specificity, and conflict, that are usually contained in a piece of information …

WebDec 6, 2024 · Specifically, the membership function of the fuzzy set is used to solve the difficulty in determining the basic probability assignment function in the improved Dempster–Shafer evidence theory. The prediction model of effluent conditions fuses seismic wave reflection data, ground penetrating radar data, and transient … chateau beau southwest ranchesWebset theory, fuzzy logic, and fuzzy systems in their historical context. Many of the ideas presented in the papers are still open to further development. The book is thus an important ... It uses most recent experiences or evidence to improve its performance through a variety of learning schemas, that for practical implementation must customer care assistant meaningWebOct 3, 2005 · A data fusion approach for improving weld inspection by multimodal nondestructive testing (NDT) is investigated. The method relies on the combined use of evidence theory and fuzzy logic. In this framework, X-ray and ultrasonic inspection is modeled using fuzzy sets and mass function in evidence theory, and objects … customer care at lively.comWebC.J. Brainerd, V.F. Reyna, in Advances in Child Development and Behavior, 2002 V Summary. Fuzzy-trace theory has evolved in response to counterintuitive data on how … customer care axis bank internet bankingWebJan 13, 2024 · Fuzzy evidence theory, or fuzzy Dempster-Shafer Theory captures all three types of uncertainty, i.e. fuzziness, non-specificity, and conflict, which are usually contained in a piece of information ... customer care as a serviceWebMay 1, 2024 · Based on the above discussion, this article proposes the quantum pythagorean fuzzy evidence theory (QPFET), which is the novel work to consider … customer care and servicesWebFuzzy-trace theory (FTT) is a theory of cognition originally proposed by Valerie F. Reyna and Charles Brainerd ... Critical tests have been conducted to provide evidence in … customer care bandhan bank