scientific article; zbMATH DE number 7406258

zbMath1471.90174MaRDI QIDQ5154473

Juan Carlos Figueroa-García, Germán Hernández-Pérez

Publication date: 5 October 2021

Full work available at URL: http://archives-web.univ-paris1.fr/rev-inv-ope/fileadmin/rev-inv-ope/files/38217/38217-05.pdf

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

fuzzy linear programming\(\alpha\)-cutsfuzzy extension principleoperation points

Mathematics Subject Classification ID

Linear programming (90C05) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Fuzzy algebraic structures (08A72)

Uses Software

• FULPAL

Cites Work

• Weak and strong solvability of interval linear systems of equations and inequalities
• Distance measures for interval type-2 fuzzy numbers
• Inequality relation between fuzzy numbers and its use in fuzzy optimization
• Fuzzy programming and linear programming with several objective functions
• Solving linear interval systems is NP-hard even if we exclude overflow and underflow
• Fuzzy reasoning for solving fuzzy mathematical programming problems
• NP-hard classes of linear algebraic systems with uncertainties
• Optimal solutions in optimization problem with objective function depending on fuzzy parameters
• A general concept for solving linear multicriteria programming problems with crisp, fuzzy or stochastic values
• Checking identities is computationally intractable NP-hard and therefore human provers will always be needed
• Linear Optimization Problems with Inexact Data
• Decision-Making in a Fuzzy Environment
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: