AIMC Topic: Fuzzy Logic

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Application of image processing and soft computing strategies for non-destructive estimation of plum leaf area.

PloS one Jul 11, 2022
Plant leaf area (LA) is a key metric in plant monitoring programs. Machine learning methods were used in this study to estimate the LA of four plum genotypes, including three greengage genotypes (Prunus domestica [subsp. italica var. claudiana.]) and...
Neural Networks, Computer Fuzzy Logic Plant Leaves Linear Models Prunus domestica
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Comprehensive evaluation of land reclamation schemes in mining areas based on linguistic intuitionistic fuzzy group decision-making.

Environmental science and pollution research international Jul 8, 2022
Schemes to protect the geological environment and reclaim land are core requirements for an application for mining rights and complying with mining regulations. Mining enterprises must be supervised to ensure they fulfill their obligations. To guide ...
Research Design Fuzzy Logic Decision Making Mining Linguistics
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Interval-valued intuitionistic fuzzy multi-attribute group decision-making method considering risk preference of decision-makers and its application.

Scientific reports Jul 8, 2022
An improved interval-valued intuitionistic fuzzy multi-attribute group decision-making method considering the risk preference of decision-makers is proposed to solve the multi-attribute group decision-making problem with interval-valued intuitionisti...
Fuzzy Logic Decision Making
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An Innovative Decision-Making Approach Based on Correlation Coefficients of Complex Picture Fuzzy Sets and Their Applications in Cluster Analysis.

Computational intelligence and neuroscience Jul 8, 2022
In modern times, the organizational managements greatly depend on decision-making (DM). DM is considered the management's fundamental function that helps the businesses and organizations to accomplish their targets. Several techniques and processes a...
Algorithms Fuzzy Logic Cluster Analysis Uncertainty
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Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data.

PloS one Jul 7, 2022
Global warming has seriously affected the local climate characteristics of cities, resulting in the frequent occurrence of urban waterlogging with severe economic losses and casualties. Aiming to improve the effectiveness of disaster emergency manage...
Humans Algorithms Fuzzy Logic Decision Making Problem Solving Linguistics
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FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection.

Journal of digital imaging Jul 5, 2022
Coronavirus (COVID-19) creates an extensive range of respiratory contagions, and it is a kind of ribonucleic acid (RNA) virus, which affects both animals and humans. Moreover, COVID-19 is a new disease, which produces contamination in upper respirati...
Humans COVID-19 Algorithms Lung Deep Learning Fuzzy Logic Cluster Analysis
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A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization.

Scientific reports Jul 4, 2022
In order to enhance the speed control performance of the brushless DC motor (BLDCM), a novel proportion integration differentiation (PID) is proposed in this paper by using dual fuzzy logic systems (FLSs) with harmony search algorithm (HSA) optimizat...
Algorithms Computer Simulation Fuzzy Logic
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Consistency-Driven Methodology to Manage Incomplete Linguistic Preference Relation: A Perspective Based on Personalized Individual Semantics.

IEEE transactions on cybernetics Jul 4, 2022
In linguistic decision-making problems, there may be cases when decision makers will not be able to provide complete linguistic preference relations. However, when estimating unknown linguistic preference values in incomplete preference relations, th...
Humans Algorithms Fuzzy Logic Decision Making Semantics Linguistics
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Granular Fuzzy Rule-Based Modeling With Incomplete Data Representation.

IEEE transactions on cybernetics Jul 4, 2022
Incomplete data are frequently encountered and bring difficulties when it comes to further processing. The concepts of granular computing (GrC) help deliver a higher level of abstraction to address this problem. Most of the existing data imputation a...
Algorithms Fuzzy Logic Pattern Recognition, Automated
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Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering.

IEEE transactions on cybernetics Jul 4, 2022
Fuzzy rule-based models (FRBMs) are sound constructs to describe complex systems. However, in reality, we may encounter situations, where the user or owner of a system only owns either the input or output data of that system (the other part could be ...
Neural Networks, Computer Algorithms Fuzzy Logic Cluster Analysis
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