Mathematical programming approach to formulate intuitionistic fuzzy regression model based on least absolute deviations

DOI10.1007/s10700-020-09315-yzbMath1450.62091OpenAlexW3008995167MaRDI QIDQ778072

Sheng-Hsing Nien, Liang-Hsuan Chen

Publication date: 30 June 2020

Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10700-020-09315-y

zbMATH Keywords

mathematical programmingintuitionistic fuzzy numberdistance criterionfuzzy regression model

Mathematics Subject Classification ID

Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Fuzziness, and linear inference and regression (62J86)

Related Items (2)

A parametric recurrent neural network scheme for solving a class of fuzzy regression models with some real-world applications ⋮ A generalized bridge regression in fuzzy environment and its numerical solution by a capable recurrent neural network

Uses Software

• LINDO
• LINGO

Cites Work

• Arithmetic operations on generalized intuitionistic fuzzy number and its applications to transportation problem
• Fuzzy least-absolutes regression using shape preserving operations
• Goodness of fit and variable selection in the fuzzy multiple linear regression
• A theoretical development of distance measure for intuitionistic fuzzy numbers
• Intuitionistic fuzzy sets
• Fuzzy least absolute deviations regression and the conflicting trends in fuzzy parameters
• Approach based on fuzzy goal programming and quality function deployment for new product planning
• Intuitionistic fuzzy linear regression analysis
• Intuitionistic fuzzy sets. Theory and applications
• Linear Regression Analysis with Fuzzy Model
• Fuzzy sets
• Unnamed Item

This page was built for publication: Mathematical programming approach to formulate intuitionistic fuzzy regression model based on least absolute deviations