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Multiobjective fuzzy regression with central tendency and possibilistic properties

Fuzzy Sets and SystemsPublished 1 August 2002
Liem Tran, Lucien Duckstein
Citations31
SJR quartileQ1
SJR score0.75
SNIP1.25

TL;DR

A multiobjective fuzzy regression model (MOFR) is developed that combines central tendency and possibilistic properties of statistical and fuzzy regressions and overcomes several shortcomings of these two approaches.

Abstract

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.

Keywords

Computer ScienceMathematicsDecision Sciences