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Evidence Theory and Its Applications
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Evidence Theory and Its Applications (1991)Evidence Theory and Its ApplicationsAn efficient adaptive forward–backward selection method for sparse polynomial chaos expansion (2019)An efficient adaptive forward…Uncertainty quantification in risk assessment - Representation, propagation and treatment approaches: Application to atmospheric dispersion modeling (2017)Uncertainty quantification in…Variation source identification for deep hole boring process of cutting-hard workpiece based on multi-source information fusion using evidence theory (2014)Variation source identificati…Reliability Assessment with Fuzzy Random Variables Using Interval Monte Carlo Simulation (2013)Reliability Assessment with F…Quantification of margins and uncertainties: Alternative representations of epistemic uncertainty (2011)Quantification of margins and…Formulating partner selection criteria for agile supply chains: A Dempster–Shafer belief acceptability optimisation approach (2010)Formulating partner selection…The combination of multiple classifiers using an evidential reasoning approach (2008)The combination of multiple c…Convergence properties of an interval probabilistic approach to system reliability estimation (2005)Convergence properties of an …Competing Failure Risk Analysis Using Evidence Theory (2005)Competing Failure Risk Analys…A fuzzy strategic alliance selection framework for supply chain partnering under limited evaluation resources (2004)A fuzzy strategic alliance se…04/03087 An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)04/03087 An exploration of al…Application of Dempster–Shafer theory in condition monitoring applications: a case study (2001)Application of Dempster–Shafe…Methodology for characterizing modeling and discretization uncertainties in computational simulation (2000)Methodology for characterizin…Generalization of the Dempster-Shafer theory: a fuzzy-valued measure (1999)Generalization of the Dempste…A random set approach to the optimization of uncertain structures (1998)A random set approach to the …MEASURING TOTAL UNCERTAINTY IN DEMPSTER-SHAFER THEORY: A NOVEL APPROACH (1994)MEASURING TOTAL UNCERTAINTY I…Probability Concepts in Engineering Planning and Design (1975)Fuzzy Set Theory and Its Applications (1993)Fuzzy sets (1996)A Multiwavelet Neural Network‐Based Response Surface Method for Structural Reliability Analysis (2014)Reliability analysis of structures with interval uncertainties under stationary stochastic excitations (2015)Probability and interval hybrid reliability analysis based on adaptive local approximation of projection outlines using support vector machine (2019)Fuzzy sets (1965)On The Quantitative Definition of Risk (1981)Quantification of margins and uncertainties: Conceptual and computational basis (2011)A reliability-based multidisciplinary design optimization procedure based on combined probability and evidence theory (2013)Evidence-theory-based structural reliability analysis with epistemic uncertainty: a review (2021)ENTROPY AND SPECIFICITY IN A MATHEMATICAL THEORY OF EVIDENCE (1983)Fuzzy Measure Theory (1992)Entropy and Specificity in a Mathematical Theory of Evidence (2008)A new distance-based total uncertainty measure in the theory of belief functions (2015)A new definition of entropy of belief functions in the Dempster–Shafer theory (2017)Uncertainty measure in evidence theory with its applications (2017)An Analysis Of Vendor Selection Systems And Decisions (1966)The Agile Supply Chain (2000)A fuzzy approach for supplier evaluation and selection in supply chain management (2005)A dynamic feedback model for partner selection in agile supply chains (2011)A group decision model based on quality function deployment and hesitant fuzzy for selecting supply chain sustainability metrics (2018)Environmental management partner selection for reverse supply chain collaboration: A sustainable approach (2019)A SET-THEORETIC VIEW OF BELIEF FUNCTIONS Logical operations and approximations by fuzzy sets† (1986)Convex Models of Uncertainty in Applied Mechanics (1990)COMPARISON OF FUZZY SET AND CONVEX MODEL THEORIES IN STRUCTURAL DESIGN (2001)Separating aleatory and epistemic uncertainties: Probabilistic sewer flooding evaluation using probability box (2011)An exploration of supplier selection practices across the supply chain (1996)When Is Virtual Virtuous? Organizing for Innovation (1998)The Dempster–Shafer theory of evidence: an alternative approach to multicriteria decision modelling (2000)A new mathematical approach for suppliers selection: Accounting for non-homogeneity is important (2006)Horizontal collaboration in semiconductor manufacturing industry supply chain: An evaluation of collaboration intensity index (2009)A multicriteria approach based on fuzzy QFD for choosing criteria for supplier selection (2016)A mathematical theory of evidence (1977)The combination of evidence in the transferable belief model (1990)A k-nearest neighbor classification rule based on Dempster-Shafer theory (1995)Classifier fusion in the Dempster–Shafer framework using optimized t-norm based combination rules (2010)The impact of diversity on the accuracy of evidential classifier ensembles (2012)Development, test and comparison of two Multiple Criteria Decision Analysis (MCDA) models: A case of healthcare infrastructure location (2015)A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination (1986)Data classification using the Dempster–Shafer method (2014)The Improvement of DS Evidence Theory and Its Application in IR/MMW Target Recognition (2015)Improvement of DS Evidence Theory for Multi-Sensor Conflicting Information (2017)Operations research: An introduction (1997)Decision Making in a Fuzzy Environment (2007)Generalizing the Dempster–Shafer Theory to Fuzzy Sets (2008)On Generalized Fuzzy Belief Functions in Infinite Spaces (2009)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Epistemic Uncertainty Quantification Tutorial (2008)Uncertainty and Sensitivity Analysis for Models of Complex Systems (2008)Reliability-based design optimization of multidisciplinary system under aleatory and epistemic uncertainty (2016)
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  • 1994MEASURING TOTAL UNCERTAINTY IN DEMPSTER-SHAFER THEORY: A NOVEL APPROACH202 cited
  • 2004A fuzzy strategic alliance selection framework for supply chain partnering under limited evaluation resources138 cited
  • 2008The combination of multiple classifiers using an evidential reasoning approach124 cited
  • 2010Formulating partner selection criteria for agile supply chains: A Dempster–Shafer belief acceptability optimisation approach100 cited
  • 2011Quantification of margins and uncertainties: Alternative representations of epistemic uncertainty95 cited
  • 2001Application of Dempster–Shafer theory in condition monitoring applications: a case study94 cited
  • 2013Reliability Assessment with Fuzzy Random Variables Using Interval Monte Carlo Simulation76 cited
  • 1999Generalization of the Dempster-Shafer theory: a fuzzy-valued measure74 cited
  • 200404/03087 An exploration of alternative approaches to the representation of uncertainty in model predictions67 cited
  • 1998A random set approach to the optimization of uncertain structures61 cited
  • 2005Competing Failure Risk Analysis Using Evidence Theory46 cited
  • 2014Variation source identification for deep hole boring process of cutting-hard workpiece based on multi-source information fusion using evidence theory34 cited
  • 2017Uncertainty quantification in risk assessment - Representation, propagation and treatment approaches: Application to atmospheric dispersion modeling

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30 cited
  • 2019An efficient adaptive forward–backward selection method for sparse polynomial chaos expansion26 cited
  • 2005Convergence properties of an interval probabilistic approach to system reliability estimation23 cited
  • 2000Methodology for characterizing modeling and discretization uncertainties in computational simulation18 cited