AIMC Topic: Fuzzy Logic

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Novel Decision-Making Techniques in Tripolar Fuzzy Environment with Application: A Case Study of ERP Systems.

Computational intelligence and neuroscience Jan 31, 2022
The intuitionistic fuzzy set (IFS) and bipolar fuzzy set (BFS) are all effective models to describe ambiguous and incomplete cognitive knowledge with membership, non-membership, negative membership, and hesitancy sections. But in daily life problems,...
Decision Making Fuzzy Logic
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Clean energy selection for sustainable development by using entropy-based decision model with hesitant fuzzy information.

Environmental science and pollution research international Jan 29, 2022
Smart cities development is an ambitious project launched in India in 2015 with around 14 billion USD. Smart city mission program primarily aimed at reducing the carbon footprint and encouraging green and sustainable practices. Under this context, cl...
Humans Decision Making Sustainable Development Entropy India Fuzzy Logic
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Machine Learning Techniques for Increasing Efficiency of the Robot's Sensor and Control Information Processing.

Sensors (Basel, Switzerland) Jan 29, 2022
Real-time systems are widely used in industry, including technological process control systems, industrial automation systems, SCADA systems, testing, and measuring equipment, and robotics. The efficiency of executing an intelligent robot's mission i...
Robotics Neural Networks, Computer Software Machine Learning Fuzzy Logic
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Integrating the HFACS Framework and Fuzzy Cognitive Mapping for In-Flight Startle Causality Analysis.

Sensors (Basel, Switzerland) Jan 29, 2022
This paper discusses the challenge of modeling in-flight startle causality as a precursor to enabling the development of suitable mitigating flight training paradigms. The article presents an overview of aviation human factors and their depiction in ...
Factor Analysis, Statistical Humans Cognition Fuzzy Logic
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The impact of unconditional cash and food assistance on contraceptive expenditure of rural households in Coastal Bangladesh: Evidence from fuzzy RDD.

PloS one Jan 21, 2022
This study investigates the impact of unconditional cash and food (UCF) assistance on the monthly contraceptive expenditure of rural households in coastal Bangladesh using a fuzzy regression discontinuity design (RDD). Eligibility for UCF assistance ...
Female Young Adult Humans Middle Aged Adolescent Rural Population Adult Male Food Assistance Contraception Medical Assistance Fuzzy Logic Bangladesh
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An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection.

Environmental science and pollution research international Jan 20, 2022
The formalization and solution of supplier selection problems (SSPs) based on sustainable (economic, environmental, and social) indicators have become a fundamental tool to perform a strategic analysis of the whole supply chain process and maximize t...
Uncertainty Decision Making Sustainable Development Humans COVID-19 Pandemics Fuzzy Logic
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Ranking patients on the kidney transplant waiting list based on fuzzy inference system.

BMC nephrology Jan 15, 2022
BACKGROUND: Kidney transplantation is the best treatment for people with End-Stage Renal Disease (ESRD). Kidney allocation is the most important challenge in kidney transplantation process. In this study, a Fuzzy Inference System (FIS) was developed ...
Humans Kidney Failure, Chronic Patient Selection Waiting Lists Kidney Transplantation Fuzzy Logic
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Intelligent Diagnosis Method for New Diseases Based on Fuzzy SVM Incremental Learning.

Computational and mathematical methods in medicine Jan 13, 2022
The diagnosis of new diseases is a challenging problem. In the early stage of the emergence of new diseases, there are few case samples; this may lead to the low accuracy of intelligent diagnosis. Because of the advantages of support vector machine (...
SARS-CoV-2 Fuzzy Logic Diagnosis, Computer-Assisted Computational Biology Humans Support Vector Machine Artificial Intelligence COVID-19 Algorithms
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Comparative Study of Artificial Intelligence Techniques for the Diagnosis of Chronic Nerve Diseases.

Computational and mathematical methods in medicine Jan 13, 2022
Farming is essential to the long-term viability of any economy. It differs in each country, but it is essential for long-term economic success. Only a few of the agricultural industry's issues include a lack of suitable irrigation systems, weeds, and...
Nervous System Diseases Agricultural Workers' Diseases Chronic Disease Expert Systems Diagnosis, Computer-Assisted Neural Networks, Computer Computational Biology Artificial Intelligence Fuzzy Logic Agriculture Decision Making Humans
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Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification.

Sensors (Basel, Switzerland) Jan 11, 2022
Bearings are nonlinear systems that can be used in several industrial applications. In this study, the combination of a strict-feedback backstepping digital twin and machine learning algorithm was developed for bearing crack type/size diagnosis. Acou...
Fuzzy Logic Artificial Intelligence Machine Learning Algorithms Feedback
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