ArticleEntropy (Basel, Switzerland)2018
A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function.
Article in Entropy (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed.
- A Genetic Algorithm-Optimized Kernel Density Estimation and D-S Evidence Fusion Classification for Predicting the Stability of Double Perovskite Materials.Materials (Basel, Switzerland) · 2026Article
- Distributional properties of the entropy transformed Weibull distribution and applications to various scientific fields.Scientific reports · 2024Article
- Multisensor Data Fusion in IoT Environments in Dempster-Shafer Theory Setting: An Improved Evidence Distance-Based Approach.Sensors (Basel, Switzerland) · 2023Article
- A New Reliability Coefficient Using Betting Commitment Evidence Distance in Dempster-Shafer Evidence Theory for Uncertain Information Fusion.Entropy (Basel, Switzerland) · 2023Article
- Uncertainty of Interval Type-2 Fuzzy Sets Based on Fuzzy Belief Entropy.Entropy (Basel, Switzerland) · 2021Article
- Fractional Deng Entropy and Extropy and Some Applications.Entropy (Basel, Switzerland) · 2021Article
- Improved Base Belief Function-Based Conflict Data Fusion Approach Considering Belief Entropy in the Evidence Theory.Entropy (Basel, Switzerland) · 2020Article
- A New Belief Entropy in Dempster-Shafer Theory Based on Basic Probability Assignment and the Frame of Discernment.Entropy (Basel, Switzerland) · 2020Article
- A Novel Evidence Conflict Measurement for Multi-Sensor Data Fusion Based on the Evidence Distance and Evidence Angle.Sensors (Basel, Switzerland) · 2020Article
- Research on Mechanical Fault Prediction Method Based on Multifeature Fusion of Vibration Sensing Data.Sensors (Basel, Switzerland) · 2019Article
- Paradox Elimination in Dempster-Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion.Sensors (Basel, Switzerland) · 2019Article
- A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy.Entropy (Basel, Switzerland) · 2019Article
- Compact Belief Rule Base Learning for Classification with Evidential Clustering.Entropy (Basel, Switzerland) · 2019Article
- Time Series Data Fusion Based on Evidence Theory and OWA Operator.Sensors (Basel, Switzerland) · 2019Article
- An Intuitionistic Evidential Method for Weight Determination in FMEA Based on Belief Entropy.Entropy (Basel, Switzerland) · 2019Article
- A Novel Belief Entropy for Measuring Uncertainty in Dempster-Shafer Evidence Theory Framework Based on Plausibility Transformation and Weighted Hartley Entropy.Entropy (Basel, Switzerland) · 2019Article
- Negation of Belief Function Based on the Total Uncertainty Measure.Entropy (Basel, Switzerland) · 2019Article
- Bayesian Update with Information Quality under the Framework of Evidence Theory.Entropy (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
How to measure the uncertainty of the basic probability assignment (BPA) function is an open issue in Dempster-Shafer (D-S) theory. The main work of this paper is to propose a new belief entropy, which is mainly used to measure the uncertainty of BPA. The proposed belief entropy is based on Deng entropy and probability interval consisting of lower and upper probabilities. In addition, under certain conditions, it can be transformed into Shannon entropy. Numerical examples are used to illustrate the efficiency of the new belief entropy in measurement uncertainty.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.