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[PDF] Top 20 Fuzzy Regression Model and Its Application: A Review

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Fuzzy Regression Model and Its Application: A Review

Fuzzy Regression Model and Its Application: A Review

... construct fuzzy regression models. They had compared a fuzzy regression model and used the least absolute deviation estimators and another fuzzy regression model ... See full document

8

Nanotechnology and Its Application in Cosmetic Industry A Concise Review

Nanotechnology and Its Application in Cosmetic Industry A Concise Review

... These tests are important since any cosmetic products should meet the requirements like the ability of the nanomaterials to penetrate through the skin in presence of physiological barriers, how much cell damage the ... See full document

5

Review of Non Parametric Regression and its application using SAS software

Review of Non Parametric Regression and its application using SAS software

... nonparametric regression approach when the standard regression model is not ...nonparametric regression by presenting the fundamental concepts of regression and modelling, and by ... See full document

18

Fuzzy Regression Model Based on Fuzzy Distance Measure

Fuzzy Regression Model Based on Fuzzy Distance Measure

... method, regression analysis is playing a more and more important role in model establishment and prediction ...ditional regression analysis requires accurate data, but in practice, the informa- tion ... See full document

15

The Establishment of Decision Model Based on Fuzzy Regression and the Application of Chemical Solid Adsorption Quantity

The Establishment of Decision Model Based on Fuzzy Regression and the Application of Chemical Solid Adsorption Quantity

... actual application, we can use the method of the statistics to build up this model, which is more commonly ...used. Its advantage lies that the sbhuyang of an equation set that we get has explicit ... See full document

5

Bayesian regression algorithm and its modification with application to public health data

Bayesian regression algorithm and its modification with application to public health data

... linear regression model and bayesian fuzzy regression model corresponding to each set of observed explanatory variables is computed in SPSS and the results are reported in Table ...of ... See full document

7

An Application on Multinomial Logistic Regression Model

An Application on Multinomial Logistic Regression Model

... the model and carried out some tests to make sure that the model is fit of the data according to statistical ...The model ability of prediction had been checked by choosing two cases of the data ... See full document

21

An adaptive fuzzy regression model for the prediction of dichotomous response variables

An adaptive fuzzy regression model for the prediction of dichotomous response variables

... possibilistic fuzzy linear regression introduced by Tanaka is being adapted in this study to produce the adaptive fuzzy logistic regression ...adaptive model was experimented on an oral ... See full document

6

Statistical Analysis of Fuzzy Linear Regression Model Based on Centroid Method

Statistical Analysis of Fuzzy Linear Regression Model Based on Centroid Method

... Traditional regression analysis methods often require that both independent variable and dependent variable are clear ...traditional regression can not get satisfactory and completely ... See full document

8

Comparison between multiple linear regression and fuzzy
C regression models towards scale of health in ICU

Comparison between multiple linear regression and fuzzy C regression models towards scale of health in ICU

... The Intensive Care National Audit & Research Centre (ICNARC) was established in UK in 1994. It was co-funded by the Intensive Care Society and the Department of Health to conduct a review on intensive care ... See full document

16

Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia’s hospital

Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia’s hospital

... Kaneko et al. (2014) studied on new index of abdominal obesity which effectively predicts the risk of colon tumor development among female Japanese. Obesity caused by accessing intake of fat-rich foods and less exercise ... See full document

45

A Variable Structural Control for a Flexible Plate

A Variable Structural Control for a Flexible Plate

... regarding fuzzy random variables (FRVs), fuzzy distance and possibility distributions will be ...(3) fuzzy linear regression models will be ...mixed fuzzy and crisp (MFC) linear ... See full document

17

Acquiring domain knowledge for negotiating agents: a case study

Acquiring domain knowledge for negotiating agents: a case study

... an application area such as our accommodation rentingscenario it is reasonable to suppose that general attributes and their possible values do exist across different types of potential buyer and ... See full document

29

Kernel and regression spline smoothing techniques to estimate coefficient in rates model and its application in psoriasis

Kernel and regression spline smoothing techniques to estimate coefficient in rates model and its application in psoriasis

... rates model under the independent censoring model on the recurrent event ...to model the relative risk in the proportional hazards ...introducing regression splines, which are splines with a ... See full document

5

Download
			
			
				Download PDF

Download Download PDF

... A large Brazilian freight railway operator company, MRS Logistica (http://www.mrs.com.br), recurrently selects sup- pliers for maintenance services contracts. The company is responsible for operating a 1,654 kilometers ... See full document

10

Consistency of the Priestley–Chao estimator in nonparametric regression model with widely orthant dependent errors

Consistency of the Priestley–Chao estimator in nonparametric regression model with widely orthant dependent errors

... In this paper, we further investigate the consistency results of estimator (2) in the non- parametric regression model based on WOD errors. We establish the strong consistency, complete consistency, the ... See full document

13

A PRE-SUBADDITIVE FUZZY MEASURE MODEL AND ITS THEORETICAL INTERPRETATION

A PRE-SUBADDITIVE FUZZY MEASURE MODEL AND ITS THEORETICAL INTERPRETATION

... a fuzzy measure that is superadditive for singletons whereas due to the structure of the set function given in the form (2) a solution of (9) may be considered to identify a fuzzy measure after checking the ... See full document

9

Hybrid algorithm for the control of technical 
		objects

Hybrid algorithm for the control of technical objects

... There was a loss of synchronization during opening and closing the valves in the channels of air- and gas-supply. The concentration of output flow was constantly changing in the channel of chemical purification and this ... See full document

5

Fuzzy control and its application to a pH process

Fuzzy control and its application to a pH process

... Chapter 2 Theory and Design of a Fuzzy Logic Controller After Mamdani's work on using a fuzzy controller to control an industrial process, reports of the application of fuzzy control tec[r] ... See full document

204

[14] . The T-S fuzzy model consists of

[14] . The T-S fuzzy model consists of

... (T-S) fuzzy model recently has attracted most attention ...T-S fuzzy model consists of IF-THEN rules with fuzzy antecedents and mathematical functions in the consequent ...The ... See full document

6

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