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Found 47 papers, 4 papers with code
Random Walk in Random Permutation Set Theory
Random walk is an explainable approach for modeling natural processes at the molecular level.
Learnable WSN Deployment of Evidential Collaborative Sensing Model
A learnable sensor deployment network (LSDNet) considering both sensor contribution and detection capability, is proposed for achieving the optimal deployment of WSNs.
Limit of the Maximum Random Permutation Set Entropy
In this paper, a new concept, the envelope of entropy function, is defined.
Random Graph Set and Evidence Pattern Reasoning Model
Therefore, Random Graph Set (RGS) were proposed to model complex relationships and represent more event types.
An Embeddable Implicit IUVD Representation for Part-based 3D Human Surface Reconstruction
In recent years, a combination of parametric body models (such as SMPL) that capture body pose and shape prior, and neural implicit functions that learn flexible clothing details, has been used to integrate the advantages of both approaches.
Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria
Visibility graph (VG) transformation is a technique used to convert a time series into a graph based on specific visibility criteria.
Variational Quantum Linear Solver-based Combination Rules in Dempster–Shafer Theory
Dempster–Shafer Theory (DST), as a method of handling uncertain information, is widely used in decisionmaking and information fusion.
Differential Convolutional Fuzzy Time Series Forecasting
Thanks to the learnable ability of the neural network, the length of fuzzy rules established in FTSF is expended to an arbitrary length that the expert is not able to handle by the expert system.
Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation
Recently, significant public efforts have been directed towards developing low-cost models with capabilities akin to ChatGPT, thereby fostering the growth of open-source conversational models.
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation
Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images.
Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases
However current research rarely studies the impact of different amounts of instruction data on model performance, especially in the real-world use cases.
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images
This process is studied in Unsupervised domain adaptation (UDA).
Repeatable Random Permutation Set
Random permutation set (RPS), as a recently proposed theory, enables powerful information representation by traversing all possible permutations.
BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection
PCL detection task is aimed at identifying and categorizing language that is patronizing or condescending towards vulnerable communities in the general media. Compared to other NLP tasks of paragraph classification, the negative language presented in the PCL detection task is usually more implicit and subtle to be recognized, making the performance of common text-classification approaches disappointed.
Ranked #1 on
Multi-label Condescension Detection
on DPM
Binary Condescension Detection
Multi-Label Classification
+1
Maximum Entropy of Random Permutation Set
The results show that the maximum entropy RPS is compatible with the maximum Deng entropy and the maximum Shannon entropy.
Evaluating importance of nodes in complex networks with local volume information dimension
In this method, the sum of degree of nodes within different distances of central node is calculated.
A modified gravity model based on network efficiency for vital nodes identification in complex networks
In particular, based on the gravity model, a series of improved gravity models are proposed to find vital nodes better in complex networks.
Belief Evolution Network-based Probability Transformation and Fusion
Smets proposes the Pignistic Probability Transformation (PPT) as the decision layer in the Transferable Belief Model (TBM), which argues when there is no more information, we have to make a decision using a Probability Mass Function (PMF).
BF-QC: Belief Functions on Quantum Circuits
We decrease the computation complexity of the matrix evolution on BBA (MEoB) on quantum circuits.
A Negation Quantum Decision Model to Predict the Interference Effect in Categorization
Categorization is a significant task in decision-making, which is a key part of human behavior.
QZNs: Quantum Z-numbers
Because of the efficiency of modeling fuzziness and vagueness, Z-number plays an important role in real practice.
When does the Physarum Solver Distinguish the Shortest Path from other Paths: the Transition Point and its Applications
Based on the D-Path and T-Point, a newly accelerated PPA named OPPA-D using the proposed termination criterion is developed which is superior to all other baseline algorithms according to the experiments conducted in this paper.
Memory-Rate Tradeoff for Caching with Uncoded Placement under Nonuniform File Popularity
For $K = 2$ users, we show that the optimized MCCS attains the lower bound and is optimal for caching with uncoded placement.
Information Theory Information Theory
Exponential Negation of a Probability Distribution
Some basic properties of the proposed negation is investigated, we find that the fix point is the uniform probability distribution.
The Capacity Constraint Physarum Solver
Motivated by the lack of related PPA-based research, a novel framework, the capacitated physarum polycephalum inspired algorithm (CPPA), is proposed to allow capacity constraints toward link flow in the PPA.
Modeling treatment events in disease progression
Ability to quantify and predict progression of a disease is fundamental for selecting an appropriate treatment.
OWA aggregation of multi-criteria with mixed uncertain fuzzy satisfactions
We apply the Ordered Weighted Averaging (OWA) operator in multi-criteria decision-making.
A DEMATEL-Based Completion Method for Incomplete Pairwise Comparison Matrix in AHP
However, in many cases, the pairwise comparison matrix is difficult to complete, which obstructs the subsequent operations of the clas- sical AHP.
Transformation of basic probability assignments to probabilities based on a new entropy measure
In that theory, basic probability assignment (BPA) is the basic element for the expression and inference of uncertainty.
A bio-inspired algorithm for fuzzy user equilibrium problem by aid of Physarum Polycephalum
The user equilibrium in traffic assignment problem is based on the fact that travelers choose the minimum-cost path between every origin-destination pair and on the assumption that such a behavior will lead to an equilibrium of the traffic network.
Multiscale probability transformation of basic probability assignment
In this paper, multiscale probability transformation of basic probability assignment based on the belief function and the plausibility function is proposed, which is a generalization of the pignistic probability transformation.
D numbers theory: a generalization of Dempster-Shafer evidence theory
Finally, a linguistic variables transformation of D numbers is presented to make a decision.
A new combination approach based on improved evidence distance
Dempster-Shafer evidence theory is a powerful tool in information fusion.
Generalized Evidence Theory
It is shown that the new theory can explain and deal with the conflicting evidence in a more reasonable way.
Distance function of D numbers
A distance function of D numbers is proposed to measure the distance between two D numbers.
Modeling contaminant intrusion in water distribution networks based on D numbers
To demonstrate the efficiency of the proposed method, we apply it to the water distribution networks to estimate the risk of contaminant intrusion.
D-CFPR: D numbers extended consistent fuzzy preference relations
How to express an expert's or a decision maker's preference for alternatives is an open issue.
A Physarum-Inspired Approach to Optimal Supply Chain Network Design at Minimum Total Cost with Demand Satisfaction
A supply chain is a system which moves products from a supplier to customers.
Defuzzify firstly or finally: Dose it matter in fuzzy DEMATEL under uncertain environment?
The results of defuzzification at the first step are not coincide with the results of defuzzification at the final step. It seems that the alternative is to defuzzification in the final step in fuzzy DEMATEL.
Parameter estimation based on interval-valued belief structures
Parameter estimation based on uncertain data represented as belief structures is one of the latest problems in the Dempster-Shafer theory.
D numbers theory: a generalization of Dempster-Shafer theory
Dempster-Shafer theory is widely applied to uncertainty modelling and knowledge reasoning due to its ability of expressing uncertain information.
A brief network analysis of Artificial Intelligence publication
In this paper, we present an illustration to the history of Artificial Intelligence(AI) with a statistical analysis of publish since 1940.
A Visibility Graph Averaging Aggregation Operator
The problem of aggregation is considerable importance in many disciplines.
An Adaptive Amoeba Algorithm for Shortest Path Tree Computation in Dynamic Graphs
When the edge weight changes, the proposed algorithm can recognize the affected vertices and reconstruct them spontaneously.
Ranking basic belief assignments in decision making under uncertain environment
Dempster-Shafer theory (D-S theory) is widely used in decision making under the uncertain environment.
A short note on the axiomatic requirements of uncertainty measure
In this note, we argue that the axiomatic requirement of range to the measure of aggregated total uncertainty (ATU) in Dempster-Shafer theory is not reasonable.
