Entropy landscape and non-Gibbs solutions in constraint satisfaction problems
, 2008 We study the entropy landscape of solutions for the bicoloring problem in random graphs, a representative difficult constraint satisfaction problem. Our goal is to classify which type of clusters of solutions are addressed by different algorithms. In the
A. Braunstein +14 more
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An Evidential Aggregation Method of Intuitionistic Fuzzy Sets Based on Belief Entropy
IEEE Access, 2019 Intuitionistic fuzzy sets (IFSs) are essential in the multi-criteria decision making (MCDM) under uncertain environment. However, how to reasonably aggregate them with considering the uncertainty contained in the IFSs is still an open issue.
Zeyi Liu, Fuyuan Xiao
doaj +1 more source
Renyi entropy of highly entangled spin chains
, 2018 Entanglement is one of the most intriguing features of quantum theory and a main resource in quantum information science. Ground states of quantum many-body systems with local interactions typically obey an "area law" meaning the entanglement entropy ...
Korepin, Vladimir, Sugino, Fumihiko
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Conflict management based on belief function entropy in sensor fusion [PDF]
SpringerPlus, 2016 Wireless sensor network plays an important role in intelligent navigation. It incorporates a group of sensors to overcome the limitation of single detection system. Dempster-Shafer evidence theory can combine the sensor data of the wireless sensor network by data fusion, which contributes to the improvement of accuracy and reliability of the detection ...
Yuan, K +4 more
openaire +2 more sources
IEEE Access, 2019 Deng entropy has been proposed to measure the uncertainty degree of basic probability assignment in evidence theory. In this paper, the condition of the maximum of Deng entropy is discussed.
Bingyi Kang, Yong Deng
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An Improved Total Uncertainty Measure in the Evidence Theory and Its Application in Decision Making
Entropy, 2020 Dempster–Shafer evidence theory (DS theory) has some superiorities in uncertain information processing for a large variety of applications. However, the problem of how to quantify the uncertainty of basic probability assignment (BPA) in DS theory ...
Miao Qin, Yongchuan Tang, Junhao Wen
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Can One Understand Black Hole Entropy without Knowing Much about Quantum Gravity? [PDF]
, 2004 It is a common belief now that the explanation of the microscopic origin of the Bekenstein-Hawking entropy of black holes should be available in quantum gravity theory, whatever this theory will finally look like.
Fursaev, Dmitri V.
core
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning
, 2019 We pose an active perception problem where an autonomous agent actively interacts with a second agent with potentially adversarial behaviors. Given the uncertainty in the intent of the other agent, the objective is to collect further evidence to help ...
How, Jonathan P, Shen, Macheng
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Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion [PDF]
, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster–Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Anwar, Sohel, Khan, Md Nazmuzzaman
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