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https://www.readbyqxmd.com/read/28534805/a-novel-approach-to-implement-takagi-sugeno-fuzzy-models
#1
Chia-Wen Chang, Chin-Wang Tao
This paper proposes new algorithms based on the fuzzy c-regressing model algorithm for Takagi-Sugeno (T-S) fuzzy modeling of the complex nonlinear systems. A fuzzy c-regression state model (FCRSM) algorithm is a T-S fuzzy model in which the functional antecedent and the state-space-model-type consequent are considered with the available input-output data. The antecedent and consequent forms of the proposed FCRSM consists mainly of two advantages: one is that the FCRSM has low computation load due to only one input variable is considered in the antecedent part; another is that the unknown system can be modeled to not only the polynomial form but also the state-space form...
May 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28534804/fuzzy-adaptive-decentralized-optimal-control-for-strict-feedback-nonlinear-large-scale-systems
#2
Kangkang Sun, Shuai Sui, Shaocheng Tong
This paper considers the optimal decentralized fuzzy adaptive control design problem for a class of interconnected large-scale nonlinear systems in strict feedback form and with unknown nonlinear functions. The fuzzy logic systems are introduced to learn the unknown dynamics and cost functions, respectively, and a state estimator is developed. By applying the state estimator and the backstepping recursive design algorithm, a decentralized feedforward controller is established. By using the backstepping decentralized feedforward control scheme, the considered interconnected large-scale nonlinear system in strict feedback form is changed into an equivalent affine large-scale nonlinear system...
May 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28532591/modeling-stability-analysis-and-computational-aspects-of-some-simplest-nonlinear-fuzzy-two-term-controllers-derived-via-center-of-area-gravity-defuzzification
#3
N K Arun, B M Mohan
The mathematical models reported in the literature so far have been found using Center of Sums (CoS) defuzzification method only. It appears that no one has found models using Center of Area (CoA) or Center of Gravity (CoG) defuzzification method. Although there have been some works reported to deal with modeling of fuzzy controllers via Centroid method, all of them have in fact used CoS method only. In this paper, for the first time mathematical models of the simplest Mamdani type fuzzy Proportional Integral (PI)/Proportional Derivative (PD) controllers via CoG defuzzification are presented...
May 19, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28528137/fuzzy-dynamic-output-feedback-h%C3%A2-control-for-continuous-time-t-s-fuzzy-systems-under-imperfect-premise-matching
#4
Tao Zhao, Songyi Dian
This paper addresses a fuzzy dynamic output feedback H∞ control design problem for continuous-time nonlinear systems via T-S fuzzy model. The stability of the fuzzy closed-loop system which is formed by a T-S fuzzy model and a fuProd. Type: FTPzzy dynamic output feedback H∞ controller connected in a closed loop is investigated with Lyapunov stability theory. The proposed fuzzy controller does not share the same membership functions and number of rules with T-S fuzzy systems, which can enhance design flexibility...
May 17, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28512336/lung-cancer-screening-based-on-type-different-sensor-arrays
#5
Wang Li, Hongying Liu, Dandan Xie, Zichun He, Xititan Pi
In recent years, electronic nose (e-nose) systems have become a focus method for diagnosing pulmonary diseases such as lung cancer. However, principles and patterns of sensor responses in traditional e-nose systems are relatively homogeneous. Less study has been focused on type-different sensor arrays. In this paper, we designed a miniature e-nose system using 14 gas sensors of four types and its subsequent analysis of 52 breath samples. To investigate the performance of this system in identifying and distinguishing lung cancer from other respiratory diseases and healthy controls, five feature extraction algorithms and two classifiers were adopted...
May 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28511348/integrated-flood-hazard-assessment-based-on-spatial-ordered-weighted-averaging-method-considering-spatial-heterogeneity-of-risk-preference
#6
Yangfan Xiao, Shanzhen Yi, Zhongqian Tang
Flood is the most common natural hazard in the world and has caused serious loss of life and property. Assessment of flood prone areas is of great importance for watershed management and reduction of potential loss of life and property. In this study, a framework of multi-criteria analysis (MCA) incorporating geographic information system (GIS), fuzzy analytic hierarchy process (AHP) and spatial ordered weighted averaging (OWA) method was developed for flood hazard assessment. The factors associated with geographical, hydrological and flood-resistant characteristics of the basin were selected as evaluation criteria...
May 11, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28511067/a-fuzzy-logic-based-tool-to-assess-beef-cattle-ranching-sustainability-in-complex-environmental-systems
#7
Sandra A Santos, Helano Póvoas de Lima, Silvia M F S Massruhá, Urbano G P de Abreu, Walfrido M Tomás, Suzana M Salis, Evaldo L Cardoso, Márcia Divina de Oliveira, Márcia Toffani S Soares, Antônio Dos Santos, Luiz Orcírio F de Oliveira, Débora F Calheiros, Sandra M A Crispim, Balbina M A Soriano, Christiane O G Amâncio, Alessandro Pacheco Nunes, Luiz Alberto Pellegrin
One of the most relevant issues in discussion worldwide nowadays is the concept of sustainability. However, sustainability assessment is a difficult task due to the complexity of factors involved in the natural world added to the human interference. In order to assess the sustainability of beef ranching in complex and uncertain tropical environment systems this paper describes a decision support system based on fuzzy rule-approach, the Sustainable Pantanal Ranch (SPR). This tool was built by a set of measurements and indicators integrated by fuzzy logic to evaluate the attributes of the three dimensions of sustainability...
May 13, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28501014/discrimination-between-acute-and-chronic-decline-of-central-european-forests-using-map-algebra-of-the-growth-condition-and-forest-biomass-fuzzy-sets-a-case-study
#8
Pavel Samec, Jan Caha, Miloš Zapletal, Pavel Tuček, Pavel Cudlín, Miloš Kučera
Forest decline is either caused by damage or else by vulnerability due to unfavourable growth conditions or due to unnatural silvicultural systems. Here, we assess forest decline in the Czech Republic (Central Europe) using fuzzy functions, fuzzy sets and fuzzy rating of ecosystem properties over a 1×1km grid. The model was divided into fuzzy functions of the abiotic predictors of growth conditions (Fpred including temperature, precipitation, acid deposition, soil data and relative site insolation) and forest biomass receptors (Frec including remote sensing data, density and volume of aboveground biomass, and surface humus chemical data)...
May 10, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28496502/the-effect-of-creative-tasks-on-electrocardiogram-using-linear-and-nonlinear-features-in-combination-with-classification-approaches
#9
Sahar Zakeri, Ataollah Abbasi, Ateke Goshvarpour
Objective: Interest in the subject of creativity and its impacts on human life is growing extensively. However, only a few surveys pay attention to the relation between creativity and physiological changes. This paper presents a novel approach to distinguish between creativity states from electrocardiogram signals. Nineteen linear and nonlinear features of the cardiac signal were extracted to detect creativity states. Method: ECG signals of 52 participants were recorded while doing three tasks of Torrance Tests of Creative Thinking (TTCT/ figural B)...
January 2017: Iranian Journal of Psychiatry
https://www.readbyqxmd.com/read/28494999/modeling-and-control-of-operator-functional-state-in-a-unified-framework-of-fuzzy-inference-petri-nets
#10
Jian-Hua Zhang, Jia-Jun Xia, Jonathan M Garibaldi, Petros P Groumpos, Ru-Bin Wang
BACKGROUND AND OBJECTIVE: In human-machine (HM) hybrid control systems, human operator and machine cooperate to achieve the control objectives. To enhance the overall HM system performance, the discrete manual control task-load by the operator must be dynamically allocated in accordance with continuous-time fluctuation of psychophysiological functional status of the operator, so-called operator functional state (OFS). The behavior of the HM system is hybrid in nature due to the co-existence of discrete task-load (control) variable and continuous operator performance (system output) variable...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28488149/identification-of-water-quality-management-policy-of-watershed-system-with-multiple-uncertain-interactions-using-a-multi-level-factorial-risk-inference-based-possibilistic-probabilistic-programming-approach
#11
Jing Liu, Yongping Li, Guohe Huang, Haiyan Fu, Junlong Zhang, Guanhui Cheng
In this study, a multi-level-factorial risk-inference-based possibilistic-probabilistic programming (MRPP) method is proposed for supporting water quality management under multiple uncertainties. The MRPP method can handle uncertainties expressed as fuzzy-random-boundary intervals, probability distributions, and interval numbers, and analyze the effects of uncertainties as well as their interactions on modeling outputs. It is applied to plan water quality management in the Xiangxihe watershed. Results reveal that a lower probability of satisfying the objective function (θ) as well as a higher probability of violating environmental constraints (q i ) would correspond to a higher system benefit with an increased risk of violating system feasibility...
May 9, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28481655/young-adult-binge-drinkers-have-immunophenotypic-changes-in-peripheral-polymorphonuclear-cells-and-monocytes
#12
Adolfo Pérez-García, América Guadalupe Arroyo-Valerio, José Luis Zaldivar-Fujigaki, Mayra A Bustos-Esquivel, Alfonso Gastelum-Strozzi, Miguel A Padilla-Castañeda, Arturo Reding-Bernal, David Kershenobich, Joselín Hernández-Ruiz
BACKGROUND: High alcohol intake on weekends (binge drinking) is more frequent in young adults, who could undergo early liver damage. Alcohol-induced liver damage is characterized by polymorphonuclear cell (PMN) infiltration, which can be represented in the peripheral blood by altered trafficking and activation profiles. OBJECTIVE: To evaluate the PMN trafficking and activation immunophenotypic profiles in people with a binge drinking pattern. METHODS: People with binge drinking (n = 18, 8 females) or at low risk (n = 16, 13 females) based on their AUDIT and HEPCA scores were studied...
May 8, 2017: American Journal of Drug and Alcohol Abuse
https://www.readbyqxmd.com/read/28481320/a-method-of-sky-ripple-residual-nonuniformity-reduction-for-a-cooled-infrared-imager-and-hardware-implementation
#13
Yiyang Li, Weiqi Jin, Shuo Li, Xu Zhang, Jin Zhu
Cooled infrared detector arrays always suffer from undesired ripple residual nonuniformity (RNU) in sky scene observations. The ripple residual nonuniformity seriously affects the imaging quality, especially for small target detection. It is difficult to eliminate it using the calibration-based techniques and the current scene-based nonuniformity algorithms. In this paper, we present a modified temporal high-pass nonuniformity correction algorithm using fuzzy scene classification. The fuzzy scene classification is designed to control the correction threshold so that the algorithm can remove ripple RNU without degrading the scene details...
May 8, 2017: Sensors
https://www.readbyqxmd.com/read/28479570/decision-support-systems-in-cardiology-a-systematic-review
#14
Aleksey Dudchenko, Georgy Kopanitsa
The aim of this work was to identify the most common approaches used in the intelligent decision support systems employed in the diagnosis of cardiovascular diseases and identify accuracy of these systems. Forty-one relevant publications were included in the review using Scopus and Web of Science. Knowledge base and fuzzy logic and ANN is the most commonly used approach to diagnosis and prediction. The accuracy of the considered systems reaches 98%.
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28479545/information-system-of-personalized-patient-s-adherence-level-determination
#15
Maksim Taranik, Georgy Kopanitsa
The present paper deals with intellectual system for determination and evaluation of personalized patient's level of adherence. The most popular nowadays techniques for adherence evaluation are interview and questionnaires. We propose a new automated approach based on the comparison of direct patient's data with personalized treatment plan using fuzzy logic and standard ISO 13606. On the current step, we process only manually submitted data. For the next step we are going to introduce sensor devices for the purposes of personalized patients' adherence determination...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28479109/fuzzy-spectral-clustering-for-automated-delineation-of-chronic-wound-region-using-digital-images
#16
Dhiraj Manohar Dhane, Maitreya Maiti, Tushar Mungle, Chittaranjan Bar, Arun Achar, Maheshkumar Kolekar, Chandan Chakraborty
Chronic wound is an abnormal disease condition of localized injury to the skin and its underlying tissues having physiological impaired healing response. Assessment and management of such wound is a significant burden on the healthcare system. Currently, precise wound bed estimation depends on the clinical judgment and remains a difficult task. The paper introduces a novel method for ulcer boundary demarcation and estimation, using optical images captured by a hand-held digital camera. The proposed approach involves gray based fuzzy similarity measure using spatial knowledge of an image...
April 23, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28477273/environmental-and-social-risk-evaluation-of-overseas-investment-under-the-china-pakistan-economic-corridor
#17
Ruilian Zhang, Francis Andam, Guoqing Shi
Along with the further implementation of the "One Belt, One Road" initiative and the promotion of the China-Pakistan Economic Corridor (CPEC), the construction of the CPEC will likely face challenges owing to differences between China and Pakistan in politics, economics, culture, religion, language, customs, environmental management systems, environmental protection laws, social management systems, and social management regulations. To address potential environmental and social risks associated with Chinese enterprises as they invest in the CPEC region, this paper examines previous studies addressing topics such as the environmental and social safeguards of international institutions and Pakistan's domestic environmental and social management requirements...
June 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28473053/applications-of-artificial-neural-networks-for-adsorption-removal-of-dyes-from-aqueous-solution-a-review
#18
REVIEW
Abdol Mohammad Ghaedi, Azam Vafaei
Artificial neural networks (ANNs) have been widely applied for the prediction of dye adsorption during the last decade. In this paper, the applications of ANN methods, namely multilayer feedforward neural networks (MLFNN), support vector machine (SVM), and adaptive neuro fuzzy inference system (ANFIS) for adsorption of dyes are reviewed. The reported researches on adsorption of dyes are classified into four major categories, such as (i) MLFNN, (ii) ANFIS, (iii) SVM and (iv) hybrid with genetic algorithm (GA) and particle swarm optimization (PSO)...
April 26, 2017: Advances in Colloid and Interface Science
https://www.readbyqxmd.com/read/28470502/engineering-risk-assessment-for-emergency-disposal-projects-of-sudden-water-pollution-incidents
#19
Bin Shi, Jiping Jiang, Rentao Liu, Afed Ullah Khan, Peng Wang
Without an engineering risk assessment for emergency disposal in response to sudden water pollution incidents, responders are prone to be challenged during emergency decision making. To address this gap, the concept and framework of emergency disposal engineering risks are reported in this paper. The proposed risk index system covers three stages consistent with the progress of an emergency disposal project. Fuzzy fault tree analysis (FFTA), a logical and diagrammatic method, was developed to evaluate the potential failure during the process of emergency disposal...
May 4, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28466018/a-review-of-modern-control-strategies-for-clinical-evaluation-of-propofol-anesthesia-administration-employing-hypnosis-level-regulation
#20
REVIEW
Muhammad Ilyas, Muhammad Fasih Uddin Butt, Muhammad Bilal, Khalid Mahmood, Ali Khaqan, Raja Ali Riaz
Regulating the depth of hypnosis during surgery is one of the major objectives of an anesthesia infusion system. Continuous administration of Propofol infusion during surgical procedures is essential but it unduly increases the load of an anesthetist working in a multitasking scenario in the operation theatre. Manual and target controlled infusion systems are not appropriate to handle instabilities like blood pressure and heart rate changes arising due to interpatient and intrapatient variability. Patient safety, large interindividual variability, and less postoperative effects are the main factors motivating automation in anesthesia administration...
2017: BioMed Research International
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