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Imprecise evidence in social learning
Social learning is a collective approach to decentralised decision-making and is comprised of two processes; evidence updating and belief fusion. In...
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Analysis of imprecise measurement data utilizing z-test for correlation
The conventional Z-test for correlation, grounded in classical statistics, is typically employed in situations devoid of vague information. However,...
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Resource allocation and aging priority-based scheduling of linear workflow applications with transient failures and selective imprecise computations
A wide range of applications in distributed environments have a linear structure, varying priorities, and may experience transient software failures....
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Guarding Precise and Imprecise Polyhedral Terrains with Segments
Guarding polyhedral terrains is a fundamental problem with realistic applications. In this paper we study three such problems when the terrains are...
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Towards Imprecise Scores in Multi-criteria Decision Making with Ranked Weights
There is a vast number of contributions in the literature dealing with problems for which they explicitly consider the imprecision in the inputs...
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Diagramming Imprecise and Incomplete Temporal Information
Incomplete and imprecise temporal data is abundant in various branches of science and technology as well as everyday life (e.g., “...
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An effective approach for reliability-based robust design optimization of uncertain powertrain mounting systems involving imprecise information
The uncertain parameters of automotive powertrain mounting systems (PMSs) may involve imprecise information (e.g., incomplete, different and...
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An Evaluation Metric for Prediction Stability with Imprecise Data
Application of machine learning techniques for analysis and prediction in healthcare heavily relies on patient data. Lab tests, medical instruments,...
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Three-way group decisions with evidential reasoning in incomplete hesitant fuzzy information systems for liver disease diagnosis
Liver diseases have emerged as a growing concern in modern times, encompassing various disorders that can harm the liver and impede its function. The...
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Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution
ObjectiveThe primary aim of this research paper is to introduce and demonstrate the application of the sine–cosine method and the convolution method...
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TTT/ik: Learning Accurate Mealy Automata Efficiently with an Imprecise Symbol Filter
Active automata learning algorithms like TTT infer accurate automata models of black-box applications and thereby help developers to understand the...
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Stability Analysis of Imprecise Prey-Predator Model
Since the last few decades, the prey-predator system delivers attractive mathematical models to analyse the dynamics of prey-predator interaction....
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Reduction 93.7% time and power consumption using a memristor-based imprecise gradient update algorithm
The conventional computing system with the architecture of von Neumann has greatly benefited our humans for past decades, while it is also suffered...
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Multi-label Chaining with Imprecise Probabilities
We present two different strategies to extend the classical multi-label chaining approach to handle imprecise probability estimates. These estimates...
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Feature selection using self-information uncertainty measures in neighborhood information systems
The neighborhood rough set model (NRS) has been widely applied to study feature selection. Nevertheless, the dependency, as a significant feature...
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An application of active learning Kriging for the failure probability and sensitivity functions of turbine disk with imprecise probability distributions
For the reliability analysis with imprecise probability distributions, the failure probability and its sensitivity are always denoted as the...
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Joint multi-scale information and long-range dependence for video captioning
Since deep learning methods have achieved great success in both computer vision and natural language processing, video captioning tasks based on...
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GeoSoft: A Language for Soft Querying Features Within GeoJSON Information Layers
GeoJSON has become one of the most popular format for representing spatial information. Its popularity is due to the fact that it relies on JSON as...
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Fully Integrated Spatial Information to Improve FCM Algorithm for Brain MRI Image Segmentation
AbstractFCM algorithm is one of the well-known techniques for image segmentation; it is based on an imprecise decision by using the membership...
