Least squares model fitting to fuzzy vector data
Fuzzy Sets and Systems
Fuzzy data analysis by possibilistic linear models
Fuzzy Sets and Systems - Fuzzy Numbers
Information Sciences: an International Journal
Evaluation of fuzzy linear regression models
Fuzzy Sets and Systems
Mathematical algorithms for linear regression
Mathematical algorithms for linear regression
On the effect of linear data transformations in possibilistic fuzzy linear regression
Fuzzy Sets and Systems
Multiobjective fuzzy linear regression analysis for fuzzy input-output data
Fuzzy Sets and Systems
Fuzzy linear regression with fuzzy intervals
Fuzzy Sets and Systems
Properties of certain fuzzy linear regression methods
Fuzzy Sets and Systems
Further examination of fuzzy linear regression
Fuzzy Sets and Systems
A generalized fuzzy weighted least-squares regression
Fuzzy Sets and Systems
Fuzzy sets in decision analysis, operations research and statistics
Evaluation of fuzzy linear regression models by comparing membership functions
Fuzzy Sets and Systems
Multi-objective fuzzy regression: a general framework
Computers and Operations Research - Special issue on artificial intelligence and decision support with multiple criteria
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Multi-objective fuzzy regression and its application to erosion prediction
Multi-objective fuzzy regression and its application to erosion prediction
Comparison of fuzzy numbers using a fuzzy distance measure
Fuzzy Sets and Systems - Fuzzy intervals
Mathematics and Computers in Simulation - Special issue: Mathematical modeling of ecological systems
An enhanced fuzzy linear regression model with more flexible spreads
Fuzzy Sets and Systems
A fuzzy vector valued KNN-algorithm for automatic outlier detection
Applied Soft Computing
Dual models for possibilistic regression analysis
Computational Statistics & Data Analysis
Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable
Computational Statistics & Data Analysis
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A multiobjective fuzzy regression model (MOFR) is developed. This MOFR model combines central tendency and possibilistic properties of statistical and fuzzy regressions and overcomes several shortcomings of these two approaches. A new class of distance measure for two intervals that takes into account all the points in both intervals is introduced. The methodology is illustrated by numerical examples.