Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review
Abstract Background and Objective Diagnosis as the initial step of medical practice, is one of
the most important parts of complicated clinical decision making which is usually …
the most important parts of complicated clinical decision making which is usually …
Fuzzy cognitive maps in systems risk analysis: a comprehensive review
Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm
T Hu, M Khishe, M Mohammadi, GR Parvizi… - … Signal Processing and …, 2021 - Elsevier
Real-time detection of COVID-19 using radiological images has gained priority due to the
increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two …
increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two …
Index of the cycle of money–The case of Canada
C Challoumis-Κωνσταντίνος … - … , Business and Economics, 2023 - papers.ssrn.com
The purpose of this paper is to apply the theory of the monetary cycle to the case of Canada.
In previous works, the economic characteristics of Latvia, Serbia, Bulgaria, Greece …
In previous works, the economic characteristics of Latvia, Serbia, Bulgaria, Greece …
Developing an industry 4.0 readiness model using fuzzy cognitive maps approach
Abstract Industry 4.0, or the fourth industrial revolution, is a new paradigm in manufacturing
digitalization, which provides various opportunities for enterprises. Industry 4.0 readiness …
digitalization, which provides various opportunities for enterprises. Industry 4.0 readiness …
A portfolio selection of internet of things (IoTs) applications for the sustainable urban transportation: A novel hybrid multi criteria decision making approach
The nature of technological innovations is unpredictable, therefore decision making on
disruptive technologies such as the Internet of Things (IoT) in many public sector …
disruptive technologies such as the Internet of Things (IoT) in many public sector …
Re-evaluation of the healthcare service quality criteria for the Covid-19 pandemic: Z-number fuzzy cognitive map
NEP Babroudi, K Sabri-Laghaie, NG Ghoushchi - Applied Soft Computing, 2021 - Elsevier
Hospitals as healthcare centers have faced many challenges with the Covid-19 spread,
which results in a decline in the quality of health care. Because the number of patients …
which results in a decline in the quality of health care. Because the number of patients …
Identifying the components and interrelationships of smart cities in Indonesia: Supporting policymaking via fuzzy cognitive systems
Multiple Indonesian cities currently aim to qualify as “smart cities.” Previous research on
defining smart cities (eg, the implementation-oriented maturity model) tends to focus on …
defining smart cities (eg, the implementation-oriented maturity model) tends to focus on …
Using multilayer fuzzy cognitive maps to diagnose autism spectrum disorder
Abstract Autism Spectrum Disorder (ASD) is comprised of a group of heterogeneous
neurodevelopmental conditions, typically characterized by a triad of symptoms consisting of …
neurodevelopmental conditions, typically characterized by a triad of symptoms consisting of …
Fuzzy logic for situation awareness: a systematic review
G D'Aniello - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Situation awareness is the cognitive capability of human and artificial agents to perceive,
understand and predict the status of the situation in an environment. Situation awareness …
understand and predict the status of the situation in an environment. Situation awareness …