Search results for "Inference system"

showing 4 items of 34 documents

Fuzzy dynamic sliding mode control design for high order disturbed systems

2013

In this paper, the problem of fuzzy dynamic sliding mode control design is investigated for a class of disturbed systems. Specifically, the fuzzy controller is constructed based on one feedback signal to estimate the unknown nonlinear terms and to develop the sliding mode control according to the fuzzy rules. Furthermore, it possesses the characteristic of simplicity in design and effectiveness in attenuating chattering. Finally, a numerical example is included to demonstrate the effectiveness and advantage of the proposed method.

Variable structure controlNonlinear systemAdaptive neuro fuzzy inference systemControl theorySIGNAL (programming language)Fuzzy control systemFuzzy logicSliding mode controlMathematics2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY)
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Off-line control of the postprandial glycemia in type 1 diabetes patients by a fuzzy logic decision support

2012

The target of this paper is to describe the use of fuzzy techniques in the development of a decision support system that allows the optimization of postprandial glycemia in type 1 diabetes patients taking into account the kind of meal taken by patients, the preprandial glycemia and the insulin resistance (the response of the body to insulin dose injection therapy). The decision support system can, in many cases, provide patients with the correct number of rapid insulin units that must be assumed to assure an optimal glycemic profile, keeping the blood glucose level close to the homeostatic condition, several hours after the meal.

medicine.medical_specialtyDecision support systemType 1 diabetesAdaptive neuro fuzzy inference systembusiness.industryInsulinmedicine.medical_treatmentdigestive oral and skin physiologyGeneral Engineeringmedicine.diseaseFuzzy logicComputer Science ApplicationsInsulin resistancePostprandialArtificial IntelligencemedicineIntensive care medicinebusinessGlycemicExpert Systems with Applications
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Comparison between statistical and fuzzy approaches for improving diagnostic decision making in patients with chronic nasal symptoms

2014

This paper compares a fuzzy model, expressed in rule-form, with a well known statistical approach (i.e. logistic regression model) for diagnostic decision making in patients with chronic nasal symptoms. The analyses were carried out using a database obtained from a questionnaire administered to 1359 patients with nasal symptoms containing personal data, clinical data and skin prick test (SPT) results. Both the fuzzy model and the logistic regression model developed were validated using a data set obtained from another medical institution. The accuracy of the two models in identifying patients with positive or negative SPT was similar. This study is a preliminary step to the creation of a so…

medicine.medical_specialtyLogistic regression modelSettore MED/09 - Medicina InternaSkin prick testLogicFuzzy inference systemFuzzy modelPrimary careSettore MED/10 - Malattie Dell'Apparato RespiratorioFuzzy relationLogistic regressionMachine learningcomputer.software_genreFuzzy logicSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Artificial IntelligenceFuzzy modelmedicineIn patientMathematicsNasal symptombusiness.industryApproximate reasoningTest (assessment)Data setPhysical therapyArtificial intelligenceDiagnostic decision makingbusinesscomputerNasal symptomsFuzzy Sets and Systems
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Explainable Fuzzy AI Challenge 2022 : Winner’s Approach to a Computationally Efficient and Explainable Solution

2022

An explainable artificial intelligence (XAI) agent is an autonomous agent that uses a fundamental XAI model at its core to perceive its environment and suggests actions to be performed. One of the significant challenges for these XAI agents is performing their operation efficiently, which is governed by the underlying inference and optimization system. Along similar lines, an Explainable Fuzzy AI Challenge (XFC 2022) competition was launched, whose principal objective was to develop a fully autonomous and optimized XAI algorithm that could play the Python arcade game “Asteroid Smasher”. This research first investigates inference models to implement an efficient (XAI) agent using rule-based …

päättelyoptimointifuzzy systemsTSKalgoritmiikkaälykkäät agentitsumea logiikkatekoälyAI agentsMamdani inference systemexplainable AI
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