Results 1 to 10 of about 3,465,090 (288)

A Redundancy Metric Set within Possibility Theory for Multi-Sensor Systems [PDF]

Sensors, 2021
In intelligent technical multi-sensor systems, information is often at least partly redundant—either by design or inherently due to the dynamic processes of the observed system.
Christoph-Alexander Holst, Volker Lohweg
doaj   +2 more sources

The Possibility of a Non-Lagrangian Theory of Gravity

Universe, 2021
General Relativity resembles a very elegant crystal glass: If we touch its principles, that is, its Lagrangian, there is a risk of breaking everything. Or, if we will, it is like a short blanket: Curing some problems creates new problems.
Celia Escamilla-Rivera, Júlio C. Fabris
doaj   +3 more sources

An Extended Epistemic Framework Beyond Probability for Quantum Information Processing with Applications in Security, Artificial Intelligence, and Financial Computing [PDF]

Entropy
In this work, we propose a novel quantum-informed epistemic framework that extends the classical notion of probability by integrating plausibility, credibility, and possibility as distinct yet complementary measures of uncertainty.
Gerardo Iovane
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Land Cover Classification Based on Airborne Lidar Point Cloud with Possibility Method and Multi-Classifier

Sensors, 2023
As important geospatial data, point cloud collected from an aerial laser scanner (ALS) provides three-dimensional (3D) information for the study of the distribution of typical urban land cover, which is critical in the construction of a “digital city ...
Danjing Zhao, Linna Ji, Fengbao Yang
doaj   +1 more source

An Extended Fuzzy CPT-TODIM Model Based on Possibility Theory and its Application to Air Target Dynamic Threat Assessment

IEEE Access, 2022
Dynamic target threat assessment can be regarded as a classical multiple attribute group decision-making (MAGDM) issue. Triangular fuzzy numbers (TFNs) can fully describe imprecise and fuzzy information for target threat assessment. Thus, to consider the
Ruojing Zhao, Fengbao Yang, Linna Ji
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Comparison and Research on Diversified Portfolios with Several Entropy Measures Based on Different Psychological States

Entropy, 2020
In previous studies, there were few portfolio models involving investors’ psychological states, market ambiguity and entropy. Some entropy can make the model have the effect of diversifying investment, which is very important.
Xue Deng, Tao Lin, Chuangjie Chen
doaj   +1 more source

Set-Valued Mapping Cloud Model and its Application for Fusion Algorithm Selection of Dual Mode Infrared Images

IEEE Access, 2021
It is always a goal to fully exploit difference features and their importance in infrared polarization and intensity images to drive selection of fusion algorithms rather than using fixed algorithm, to improve pertinence and effectiveness of image fusion.
Linna Ji, Fengbao Yang, Xiaoming Guo
doaj   +1 more source

Co-optimized bidding strategy of an integrated wind-thermal system in electricity day ahead and reserve market under uncertainties [PDF]

مجله مدل سازی در مهندسی, 2023
Nowadays renewable energy sources, such as wind and solar, whether independently or integrated with other resources, are considered in power system, specifically self-scheduling, bidding and offering strategy problems.
Mehrnoosh Khaji, maghsoud amiri, Mohammad taghi Taghavifard   +2 more
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Extracting Statistical Properties of Solar and Photovoltaic Power Production for the Scope of Building a Sophisticated Forecasting Framework

Forecasting, 2022
Building a sophisticated forecasting framework for solar and photovoltaic power production in geographic zones with severe meteorological conditions is very challenging.
Joseph Ndong, Ted Soubdhan
doaj   +1 more source

Mathematical Analyses of the Upper and Lower Possibilistic Mean – Variance Models and Their Extensions to Multiple Scenarios

Journal of Advanced Research in Natural and Applied Sciences, 2023
Possibility theory is the one of the most important and widely used uncertainty theories because it is closely related to the imprecise probability and expert knowledge.
Furkan Göktaş
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