AIMC Topic: Fuzzy Logic

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Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models.

Environmental science and pollution research international Feb 13, 2017
Vulnerability indices of an aquifer assessed by different fuzzy logic (FL) models often give rise to differing values with no theoretical or empirical basis to establish a validated baseline or to develop a comparison basis between the modeling resul...
Hydrology Geology Groundwater Fuzzy Logic Iran Nitrates Water Pollution Neural Networks, Computer Models, Theoretical
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Advanced Interval Type-2 Fuzzy Sliding Mode Control for Robot Manipulator.

Computational intelligence and neuroscience Feb 8, 2017
In this paper, advanced interval type-2 fuzzy sliding mode control (AIT2FSMC) for robot manipulator is proposed. The proposed AIT2FSMC is a combination of interval type-2 fuzzy system and sliding mode control. For resembling a feedback linearization ...
Artificial Intelligence Computer Simulation Neural Networks, Computer Fuzzy Logic Robotics
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Using a genetic-fuzzy algorithm as a computer aided diagnosis tool on Saudi Arabian breast cancer database.

Mathematical biosciences Feb 6, 2017
The computer-aided diagnosis has become one of the major research topics in medical diagnostics. In this research paper, we focus on designing an automated computer diagnosis by combining two major methodologies, namely the fuzzy base systems and the...
Humans Algorithms Saudi Arabia Databases, Factual Breast Neoplasms Models, Genetic Diagnosis, Computer-Assisted Fuzzy Logic
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Enhanced Hazard Analysis and Risk Assessment for Human-in-the-Loop Systems.

Human factors Feb 1, 2017
OBJECTIVE: The objective of this study was to enhance the existing system hazard analysis (SHA) technique by introducing the concepts of human and automation reliability quantification as well as fuzzy classification of system risks. These enhancemen...
Adult Risk Assessment Fuzzy Logic Humans Safety Man-Machine Systems
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A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty.

Journal of medical systems Jan 30, 2017
The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various signs and symptoms of a patient. However, these signs and symptoms cannot be measured with 100 % certainty since they are associated with various types of unc...
Expert Systems Uncertainty Fuzzy Logic Tuberculosis Humans Algorithms Decision Support Systems, Clinical
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A New Efficient Hybrid Intelligent Model for Biodegradation Process of DMP with Fuzzy Wavelet Neural Networks.

Scientific reports Jan 25, 2017
A new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment pr...
Neural Networks, Computer Algorithms Anaerobiosis Kinetics Fuzzy Logic Aerobiosis Biodegradation, Environmental Phthalic Acids
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The use of multi-criteria decision making models in evaluating anesthesia method options in circumcision surgery.

BMC medical informatics and decision making Jan 23, 2017
BACKGROUND: Determining the most suitable anesthesia method for circumcision surgery plays a fundamental role in pediatric surgery. This study is aimed to present pediatric surgeons' perspective on the relative importance of the criteria for selectin...
Pediatricians Circumcision, Male Clinical Decision-Making Male Fuzzy Logic Anesthesia Humans Surgeons
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Some Muirhead Mean Operators for Intuitionistic Fuzzy Numbers and Their Applications to Group Decision Making.

PloS one Jan 19, 2017
Muirhead mean (MM) is a well-known aggregation operator which can consider interrelationships among any number of arguments assigned by a variable vector. Besides, it is a universal operator since it can contain other general operators by assigning s...
Fuzzy Logic Decision Making Intuition Group Processes Humans Models, Theoretical
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Distributed mixed-integer fuzzy hierarchical programming for municipal solid waste management. Part I: System identification and methodology development.

Environmental science and pollution research international Jan 18, 2017
Due to the existence of complexities of heterogeneities, hierarchy, discreteness, and interactions in municipal solid waste management (MSWM) systems such as Beijing, China, a series of socio-economic and eco-environmental problems may emerge or wors...
Solid Waste Waste Management Fuzzy Logic Nonlinear Dynamics Beijing Models, Theoretical
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A fuzzy integral method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification across multiple subjects.

Journal of integrative neuroscience Jan 17, 2017
The huge number of voxels in fMRI over time poses a major challenge to for effective analysis. Fast, accurate, and reliable classifiers are required for estimating the decoding accuracy of brain activities. Although machine-learning classifiers seem ...
Visual Perception Cognition Magnetic Resonance Imaging Datasets as Topic Machine Learning Humans Fuzzy Logic Neuropsychological Tests Brain Neural Networks, Computer
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