A
short primer on fuzzy regression
The only data requirement for regression on fuzzy numbers is that every ... Two major approaches have been explored for fuzzy regression. The question ...
http://creativelimits.net/research/papers/fuzzyregression.pdf
Fuzzy Regression Models
Fuzzy Regression Models. Fuzzy Clustering and Switching Regression .... Fuzzy switching regression model: For c = 3, w = 2 and the stopping ...
http://www.sbi.uni-rostock.de/dokumente/dataengineering/switchreg.pdf
FUZZY REGRESSION METHODOLOGY
Fuzzy regression methods- a comparative assessment. Fuz. Sets Syst., 119, 187-203 ... A fuzzy linear regression model with better explanatory power. Fuz. ...
http://www.iasri.res.in/ebook/EBADAT/5-Modeling and Forecasting Techniques in Agriculture/3-FUZZY REGRESSION METHODOLOGY.pdf
Fuzzy Regression Models
The purpose of this article is to revisit the fuzzy regression portions of the foregoing ... conceptualize the general components of fuzzy regression. ...
http://www.soa.org/library/research/actuarial-research-clearing-house/2006/january/arch06v40n1-ii.pdf
Fuzzy Regression and the Term Structure of
Interest Rates -- A ...
define and conceptualize the general components of fuzzy regression. ... which characterize the fuzzy regression model, the i-th data pair ...
http://www.soa.org/library/proceedings/arch/2009/arch-2009-iss1-koissi.pdf
Quadratic Programming Models for Fuzzy
Regression
Fuzzy lineal regression; quadratic programming; Fuzzy Ridge re- gression. ... Fuzzy regression analysis (with crisp input variables and fuzzy output ...
http://www.uclm.es/actividades0506/congresos/icmsm2006/articles/DonosoMV06.pdf
SIMILARITIES AND
DISTANCES IN FUZZY REGRESSION MODELS*
Abstract: We study the set of the solutions of a fuzzy regression model that comes from a set of ... A fuzzy linear regression model has the following form: ...
http://obelix.ee.duth.gr/BKP/paper27.pdf
Infrastructure assessment: fuzzy regression with
neural networks ...
Herein, it is proposed that fuzzy regression with neural networks would prove most beneficial ... [2] Ishibuchi, H. and Tanaka, H. (1992), "Fuzzy Regression ...
http://ieeexplore.ieee.org/iel2/3014/8563/00375122.pdf?arnumber=375122
Fuzzy Regression-Based Modeling of Single-Phase
Energy Meter for ...
the fuzzy constructing an exact mathematical mode/ of regression method. ... fuzzy regression analysis method. The correlation among measurable parameter ...
http://ieeexplore.ieee.org/iel3/4799/13268/00603963.pdf?arnumber=603963
Fuzzy
regression methodology for crop yield forecasting using
...
approach of "Fuzzy regression" is discussed which is capable of handling such a .... Average widths for fitted fuzzy regression models with varying fitness ...
http://www.springerlink.com/index/UP6176X5802H0507.pdf
Similarities
in Fuzzy Regression Models
The solutions of a fuzzy regression model are obtained by ... of all the solutions to the fuzzy regression model that comes from a set ...
http://www.springerlink.com/index/HL57Q013662M1120.pdf
Modeling Car Ownership in Turkey Using Fuzzy
Regression
Conversely, in fuzzy regression, as the relationship between the ... Fuzzy regression can, in a general way, be classified into two categories: ...
http://www.ins.itu.edu.tr/ksogut/Modelling carownership in Turkey using fuzzy regression.pdf
Identification
of fuzzy regression models
Fuzzy optimization techniques. Fuzzy regression : fuzzy least squares ... A. Bisserier (LISTIC). Identification of fuzzy regression models. 13 Novembre 2008 ...
http://www.lirmm.fr/ensemble/IMG/pdf/MEA_nov08_bisserier.pdf
Deriving Reservoir Operating Rules via Fuzzy
Regression and ANFIS
Fuzzy regression (FR) and adaptive-network-based .... Figure 1: Interpretation of fuzzy regression ..... ordinary regression, a fuzzy regression, and an ...
http://www.eusflat.org/publications/proceedings/EUSFLAT_2003/papers/3Mousavi.pdf
Fuzzy Regression Analysis using Trapezoidal
Fuzzy Numbers [ ]
In fuzzy linear regression (FLR) analysis [1], some .... vagueness resulting from the fuzzy regression ..... SIRPI, “Similarities in fuzzy regression ...
http://www.eusflat.org/publications/proceedings/EUSFLAT-LFA_2005/papers/JEL232.pdf
FUZZY
REGRESSION MODELS ON ENTROPY BASED BLOCKING STRUCTURES
Mika ...
An entropy based fuzzy blocking regression model is proposed in terms of ... Keywords: Fuzzy regression, Fuzzy cluster, Blocking regression, Entropy ...
http://www.ijicic.org/isme07-03-1.pdf
Classification of structural equation models based on fuzzy
regression
PLS path models and fuzzy regression. Section 6 gives a brief review of the ... Fuzzy linear regression models based on fuzzy least squares approach permit ...
http://www.iasc-isi.org/Proceedings/2006/COMPSTAT_Satellites/KNEMO/Lavori/Papers CD/Romano Palumbo.pdf
Determining
Soil Hydraulic Properties from Tension Infiltrometer ...
analysis, the fuzzy regression model is represented as ... fuzzy center values of fuzzy regression coefficients (i.e., input spondence to small values. ...
http://soil.scijournals.org/cgi/reprint/69/6/1922.pdf
Adaptive Fuzzy Regression Model for the Prediction
of Dichotomous ...
feasibility of the adaptive fuzzy logistic regression algorithm in predicting oral cancer susceptibility. The data set x = ...
http://fpv.ucm.sk/jamsi/docs/v04n02_12_2008/v04n02_08_NAGAR_SRIVASTAVA.pdf
On the Use
of Fuzzy Regression in Parametric Software
Estimation ...
Our initial exploration of fuzzy regression takes the ... used for the inputs to the fuzzy regression method. In our present work, we have estimated a ...
http://www.cc.uah.es/msicilia/papers/Crespo_WTS_04.pdf
Market Sector
Selection Using Fuzzy Regression Trees
describes a method of using fuzzy regression trees to predict the rankings of Fidelity select .... This paper has shown that fuzzy regression trees can ...
http://www.richardhaskell.com/files/scfm5.pdf
Neuro-Fuzzy
Classification and Regression Trees
Introduction
regression trees can be considered to be a fuzzy neural network in which the ..... For a fuzzy regression tree used to predict a continuous output value, ...
http://www.richardhaskell.com/files/nfuzzy7.PDF
The Estimation of Electric Power Losses in Electrical Networks by
...
This paper presents the comparative study for fuzzy regression model us- ing linear programming, fuzzy regression model using genetic algorithms and ...
https://upcommons.upc.edu/revistes/bitstream/2099/3632/1/2-mogi.pdf
Fitting Functions to Data with Error Bounds: Fuzzy
regression with ...
A univariate fuzzy regression problem is formulated where func- ... The above mentioned situations can be formulated as fuzzy regression prob- ...
http://www.dopti.com/~dombi/publications/1992-T.Solymosi-J.Dombi---ERRGO.pdf
Fitting Functions to Data with Error Bounds: Fuzzy
regression with ...
Fuzzy regression with ERRGO. T. Solymosi, J. Dombi. Research Group on the theory of Automata, Szeged. 1992. Abstract. Curve fitting problems on the plane, ...
http://www.dopti.com/~dombi/abstracts/1992-T.Solymosi-J.Dombi---ERRGO-abs.pdf
On the Design of Adaptive Fuzzy Regression
Selection Filter with ...
The fuzzy regression methods view these difference ... optimal solution of the fuzzy linear regression is which in turn yields ...
http://www.iwaenc.org/proceedings/1997/nsip97/pdf/scan/ns970442.pdf
Incorporating
Prior Knowledge in Fuzzy
-Regression Models ...
erating regions of these models are then found by fuzzy c-regression clustering. ... Fuzzy c-regression models yield simultaneous estimates of parameters of ...
http://www.fmt.vein.hu/softcomp/Abonyi00-Intcom1.pdf
Neural Network
Approach to Fuzzy Minmad
Regression ∑
multiple linear regression model. Using the fuzzy MINMAD criterion the .... solution of fuzzy regression problems in which MINMAD criteria are used, ...
http://isi.cbs.nl/iamamember/CD2/pdf/368.PDF
An omission approach for detecting outliers in fuzzy
regression models
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely ...
http://www2.math.cycu.edu.tw/TEACHER/MSYANG/fuzzy-e/yang-pdf/hung-yang-7-FLR-outlier.pdf
Fuzzy least-squares algorithms for interactive
fuzzy linear ...
Fuzzy regression analysis can be thought of as a fuzzy variation of classical ... In general, the analysis of fuzzy regression models can be roughly ...
http://www2.math.cycu.edu.tw/TEACHER/MSYANG/fuzzy-e/yang-pdf/yang-n-17-interactive-FLS.pdf
AN USE OF
CONJOINT ANALYSIS WITH FUZZY REGRESSION FOR
EVALUATION ...
introduce the Conjoint Analysis based on the fuzzy multiple regression analysis, ... (4)Fuzzy regression analysis: We can generally estimate the multiple ...
http://www.iasi.cnr.it/ewgt/13conference/21_kagaya.pdf
Comparing possibility grey forecasting with neural network-based
...
network-based fuzzy regression by an empirical study ... fuzzy regression and possibility grey forecasting have been used to forecast and analyze data. ...
http://www.knu.edu.tw/lecture/Tzeng published papers/060210-2.pdf
UNCERTAINTY, FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
fuzzy regression are presented in Section 2. Fuzzy principal component analysis ... regression9"11, fuzzy regression for both fuzzy/crisp input and output ...
http://www.knu.edu.tw/lecture/2008 研究方法夏令營 上課資料/8.13 ELETREE, PROMETHEE, FUZZY INTEGRAL, Markov Chain,Regression/Regression/Fuzzy Principal COmponent Regression (FPCR) for Fuzzy Input and Output Data.pdf
Fuzzy Linear Regression Models
with Fuzzy Entropy
Fuzzy regression analysis using fuzzy linear models with symmetric ... rectify previous problems in fuzzy linear regression with crisp input and ...
http://www.m-hikari.com/ams/ams-password-2007/ams-password33-36-2007/razzaghniaAMS33-36-2007.pdf
Fuzzy regression and least squares
regression: the relationship ...
Tanaka's possibilistic fuzzy linear regression model (FR) is defined as (Tanaka et al. .... a better performance of the fuzzy regression in presence of high ...
http://www.sis-statistica.it/files/pdf/atti/Spontanee 2006_693-696.pdf
Fuzzy Non-Linear Regression
Analysis and Its Applications
dent variable in the fuzzy regression models are due to the "indefmiteness" ... The vagueness of the fuzzy linear regression model is defined by objective ...
http://www.polytech.univ-savoie.fr/fileadmin/polytech_autres_sites/sites/listic/busefal/Papers/63.zip/63_07.pdf
Robust
Estimations in Classical Regression Models Versus
Robust ...
parameters in the fuzzy regression model and investigated the ... tween these robust estimators in the classical regression model and in the fuzzy ...
http://www.kybernetika.cz/pdf_abstract/434838.pdf
Universit`a
degli Studi di Napoli Federico II Fuzzy Regression
and ...
4 Structural Equation Models based on Fuzzy Regression ...... Fuzzy Regression (FR) is a powerful tool for analyzing systems character- ...
http://www.fedoa.unina.it/1635/1/Romano_Rosaria_Statistica.pdf
A
Learning System Prediction Method Using Fuzzy
Regression
computer-based prediction model by using fuzzy regression ... ameliorated by fuzzy regression analysis in multivariate environment. ...
http://www.iaeng.org/publication/IMECS2008/IMECS2008_pp69-72.pdf
FUZZY PRINCIPAL COMPONENT REGRESSION
(FPCR) FOR FUZZY INPUT
Although fuzzy regression is widely employed to solve many problems in practice, ... can provide a correct fuzzy regression model and avoid the problem of ...
http://ntur.lib.ntu.edu.tw/bitstream/246246/84960/1/4.pdf
LEAST
ABSOLUTE DEVIATION ESTIMATOR IN FUZZY REGRESSION 1
...
Key words and phrase : Fuzzy regression model, fuzzy least squares method, ... In the fuzzy regression analysis which was initially developed by Tanaka et ...
http://basilo.kaist.ac.kr/mathnet/kms_tex/982506.pdf
CENSORED
FUZZY REGRESSION MODEL Seung Hoe Choi and Kyung
Joong Kim ...
fuzzy regression analysis the value of the center point of estimated ... thors and then introduces the censored fuzzy regression model using ...
http://basilo.kaist.ac.kr/mathnet/kms_tex/983952.pdf
PSPPro 1: D:\R\澳门\070601.PS
Abstract: Fuzzy regression has experienced fast development in the past two ... fuzzy regression methods appeared in the literature, including Tanaka and ...
http://lib.must.edu.mo/library/MUST_Journal/200701/articles/doc05.pdf
FUZZY APPROXIMATIONS WITH NON-SYMMETRIC
FUZZY PARAMETERS IN FUZZY ...
This paper proposes fuzzy regression analysis with non-symmetric fuzzy .... non-symmetric fuzzy coefficients. Let us assume a fuzzy regression model as ...
http://www.orsj.or.jp/~archive/pdf/e_mag/Vol.42_1_089.pdf
Fuzzy Goal Programming for Solving Fuzzy
regression
Necessity Analysis of Fuzzy Regression Equations Using a Fuzzy Goal. Programming Model ... necessity analysis in a fuzzy regression model usually ...
http://computer.niu.edu.tw/ePublication/2009_paper_2/ijfs09-2-r-5_IJFS20081125-00045.pdf
Forecasting
of solid waste composition using fuzzy regression
...
Abstract: Fuzzy regression based approach has been used for forecasting ... The present study, proposes a method using fuzzy regression for forecasting the ...
http://inderscience.metapress.com/index/M71271M68435R327.pdf
A Fuzzy Model of Support Vector
Regression Machine
serves the benefits of SVM regression and fuzzy regres- ..... (4) The capacity control term [9] of the fuzzy regression model is defined by the Euclidean ...
http://www.ijfs.org.tw/ePublication/2007_paper_1/A Fuzzy Model of Support Vector Regression Machine.pdf
-
74 - CREDIBILISTIC FUZZY REGRESSION ABSTRACT
variable treatments on fuzzy regression models will greatly simplify the ... When data is fuzzy, fuzzy regression models were also developed although mostly ...
http://gnedenko-forum.org/Journal/2009/012009/RATA_1_2009-09.pdf
DETERMINATION OF
FUZZY RELATIONSHIP BY FUZZY
REGRESSION
Potential applications of this fuzzy regression procedure are discussed. ... Fuzzy regression was perhaps first introduced by an aka et a14. ...
http://www.informaworld.com/index/782251749.pdf
Fuzzy
regression approach to process modelling and optimization
of ...
regression method. In this paper, a fuzzy regression approach with fuzzy intervals ... Two fuzzy regression models relating three process parameters and ...
http://www.informaworld.com/index/X448277375Q580R3.pdf
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