Results 1 to 10 of about 116,209 (162)
Rule-ranking method based on item utility in adaptive rule model [PDF]
PeerJ Computer Science, 2022 Background Decision-making is an important part of most human activities regardless of their daily activities, profession, or political inclination. Some decisions are relatively simple specifically when the consequences are insignificant while others ...
Erna Hikmawati +2 more
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Feature-Based and Adaptive Rule Adaptation in Dynamic Environments [PDF]
Data Science and Engineering, 2020 Rule-based systems have been used increasingly to augment learning algorithms for annotating data. Rules alleviate many of the shortcomings inherent in pure algorithmic approaches, in cases algorithms are not working well or lack from enough training ...
Alireza Tabebordbar +3 more
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Pruning Strategy on Adaptive Rule Model by Sorting Utility Items
IEEE Access, 2022 The adaptive Rule Model is an association rule development that formulates a minimum threshold value according to the data characteristics. The formulation process is based on item frequency and utility for other considerations, which requires high ...
Erna Hikmawati +2 more
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Adaptive rule: A novel framework for recommender system
ICT Express, 2020 Determining minimum support value on association rule is not easy to users. Hurdles such as data locations and data origins are a mountain that should be overcome by association rule.
Erna Hikmawati +2 more
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Generalized Adaptive Fuzzy Rule Interpolation [PDF]
IEEE Transactions on Fuzzy Systems, 2017 As a substantial extension to fuzzy rule interpolation that works based on two neighbouring rules flanking an observation, adaptive fuzzy rule interpolation is able to restore system consistency when contradictory results are reached during interpolation. The approach first identifies the exhaustive sets of candidates, with each candidate consisting of
Longzhi Yang, Fei Chao, Qiang Shen
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Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting [PDF]
PeerJ Computer ScienceIn rapidly changing scenarios, uncertainty and chaotic oscillations often obstruct time series prediction. However, Type-1 fuzzy systems face challenges in handling high uncertainty levels, therefore, Type-2 fuzzy systems become a better solution ...
Abdulwhab Alkharashi +7 more
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Information-Driven Rule Reduction in Belief Rule Bases for Complex System Modeling [PDF]
EntropyIn the analysis of complex engineering systems, managing uncertainty and optimizing information processing structures are critical for reliable state prediction.
Xingzhi Liu +4 more
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Trajectory Tracking with Adaptive Robust Control for Quadrotor
Applied Sciences, 2021 This work proposes three robust mechanisms based on the MIT rule and the sliding-mode techniques. These robust mechanisms have to tune the gains of an adaptive Proportional-Derivative controller to steer a quadrotor in a predefined trajectory.
Tadeo Espinoza-Fraire +4 more
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Bergmann's Rule in Ectotherms: Is It Adaptive? [PDF]
Evolution, 1997 Uploaded by Plazi for TaxoDros. We do not have abstracts.
Linda, Partridge, Jerry A, Coyne
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Electronic Management Technology and Application of Structured Intelligent Stability Limit
Shanghai Jiaotong Daxue xuebao, 2021 This paper proposes an intelligent stability quota management technology based on structured rule strategy library, designs a set of automatic identification of section rules and adaptive adjustment methods of quota based on structured rule library, and ...
WU Xin, SUN Hui, WANG Jin
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