Results 41 to 50 of about 15,252 (152)
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
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An Extended Intuitionistic Fuzzy Cognitive Map via Dempster-Shafer Theory
IEEE Access, 2020 Fuzzy cognitive map has gradually emerged as a powerful paradigm for uncertain knowledge representation and a simulation mechanism that is applicable in dealing with complex artificial reasoning problems.
Zhuosheng Jia +2 more
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Predictive processing's flirt with transcendental idealism
Noûs, Volume 60, Issue 1, Page 87-109, March 2026.Abstract The popular predictive processing (PP) framework posits prediction error minimization (PEM) as the sole mechanism in the brain that can account for all mental phenomena, including consciousness. I first highlight three ambitions associated with major presentations of PP: (1) Completeness (PP aims for a comprehensive account of mental phenomena)
Tobias Schlicht
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A New Belief Entropy Based on Deng Entropy
Entropy, 2019 For Dempster−Shafer evidence theory, how to measure the uncertainty of basic probability assignment (BPA) is still an open question. Deng entropy is one of the methods for measuring the uncertainty of Dempster−Shafer evidence.
Dan Wang, Jiale Gao, Daijun Wei
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Generalized Evidence Theory [PDF]
, 2014 Conflict management is still an open issue in the application of Dempster Shafer evidence theory. A lot of works have been presented to address this issue. In this paper, a new theory, called as generalized evidence theory (GET), is proposed.
Deng, Yong
core
Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
Transactions in GIS, Volume 30, Issue 1, February 2026.ABSTRACT The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points‐of‐interest (POIs) has been widely addressed, resolution of entities with diverse geometries has been largely overlooked.
Kalana Wijegunarathna +2 more
wiley +1 more source
Identifying Influential Nodes Based on Evidence Theory in Complex Network
EntropyInfluential node identification is an important and hot topic in the field of complex network science. Classical algorithms for identifying influential nodes are typically based on a single attribute of nodes or the simple fusion of a few attributes ...
Fu Tan +5 more
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Finding Academic Experts on a MultiSensor Approach using Shannon's Entropy
, 2013 Expert finding is an information retrieval task concerned with the search for the most knowledgeable people, in some topic, with basis on documents describing peoples activities.
Moreira, Catarina, Wichert, Andreas
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Rare Metals, Volume 45, Issue 1, January 2026.ABSTRACT High‐entropy alloys (HEAs) have emerged as a transformative class of materials distinguished by their complex chemical compositions, unique microstructures, and remarkable mechanical and functional properties. Traditionally, the discovery and optimization of HEAs have relied on conventional methods, including trial‐and‐error experimentation ...
Chrispin Ouko Zamzu +2 more
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A new model for threat assessment in data fusion based on fuzzy evidence theory
IJAIN (International Journal of Advances in Intelligent Informatics), 2016 In this paper a new method for threat assessment is proposed based on Fuzzy Evidence Theory. The most widely classical and intelligent methods used for threat assessment systems will be Evidence or Dempster Shafer and Fuzzy Sets Theories.
Ehsan Azimirad, Javad Haddadnia
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