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Generalized quantum evidence theory
With the development of quantum decision making, how to bridge classical theory with quantum framework has gained much attention in past few years....
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An integrated method for multi-criteria decision-making based on the best-worst method and Dempster-Shafer evidence theory under double hierarchy hesitant fuzzy linguistic environment
Double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) is a newly developed complex linguistic expression model, and has been well applied to...
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A Dynamic multi-sensor data fusion approach based on evidence theory and WOWA operator
Multi-sensor data fusion (MSDF) problems have attracted widespread attention recently. However, it is still an open issue about how to make the...
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Occupancy inference using infrastructure elements in indoor environment: a multi-sensor data fusion
Gathering occupancy information in indoor environments has gained extensive research interest due to its potential use in energy savings, user...
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An intuitionistic linguistic MCDM model based on probabilistic exceedance method and evidence theory
The optimization in multi-criteria decision making under uncertain conditions has attracted more and more scholars in recent years. However, it is...
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An improved evidential Markov decision making model
The disjunction effect is an interesting phenomenon of the violation of the law of total probability, and many studies have shown that the...
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A new association coefficient measure for the conflict management and its application in medical diagnosis
Conflicts in the evidence are addressed through various functions based on distance and similarity measure etc. Some complications and irrationality...
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Exponential information fractal dimension weighted risk priority number method for failure mode and effects analysis
As an efficient assessment technique, failure mode and effects analysis (FMEA) plays a critical role in conducting risk analyses of production and...
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Spatial landslide susceptibility modelling using metaheuristic-based machine learning algorithms
To prevent and mitigate landslide risks, landslide susceptibility is an essential tool to plan and manage urban development, especially in hilly...
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A PL-MCDM Method based on the Decision-Making Reliability of Multi-Group for Patients with Chronic Diseases Requiring Downward Referral
With the number of patients with chronic diseases increasing, a hierarchical diagnosis and treatment system is a feature of long-term treatment....
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A continuous interval-valued double hierarchy linguistic GLDS method and its application in performance evaluation of bus companies
The double hierarchy linguistic information is more close to people’s habits of expression and it can describe evaluation information more...
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Solving Quantifier-Free First-Order Constraints Over Finite Sets and Binary Relations
In this paper we present a solver for a first-order logic language where sets and binary relations can be freely and naturally combined. The language...
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Securely Aggregating Testimonies with Threshold Multi-key FHE
Many data management applications, such as setting up Web portals, managing enterprise data, managing community data, and sharing scientific data,...
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Gras** the Gap Between Blocking and Non-Blocking Transactional Memories
Transactional memory (TM) is an inherently optimistic synchronization abstraction: it allows concurrent processes to execute sequences of shared-data...
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Inherent Limitations of Hybrid Transactional Memory
Several Hybrid Transactional Memory (HyTM) schemes have recently been proposed to complement the fast, but best-effort nature of Hardware...
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A non-parametric method to determine basic probability assignment for classification problems
As an important tool for knowledge representation and decision-making under uncertainty, Dempster-Shafer evidence theory (D-S theory) has been used...
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A Model to Promote Interaction between Humans and Data Fusion Intelligence to Enhance Situational Awareness
The operator of a Command & Control (C2) system has a crucial role on the improvement of information that is processed through data fusion engines to...
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An Evidential and Context-Aware Recommendation Strategy to Enhance Interactions with Smart Spaces
This work describes a novel strategy implementing a context-aware recommendation system. It has been conceived to offer an intelligent selection of...
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Retrenchment for Event-B: UseCase-wise development and Rodin integration
UseCase-wise Development, an ‘Agile Method’ which introduces functionality into an application stage by stage, with each stage being carried through...
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An adaptive PNN-DS approach to classification using multi-sensor information fusion
In this paper, an adaptive neural network approach to classification which combines modified probabilistic neural network and D-S evidence theory...
