Implementing deviation degree of two closed intervals to decode fully fuzzy multiobjective linear programming problem

DOI10.3233/IFS-162158zbMath1365.90231MaRDI QIDQ5273410

Uday Sharma, Shashi Aggarwal

Publication date: 6 July 2017

Published in: Journal of Intelligent & Fuzzy Systems (Search for Journal in Brave)

zbMATH Keywords

deviation degreedeviation distancefully fuzzy multiobjective linear programming problemgoalprogramming

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Linear programming (90C05) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Cites Work

• An alternative optimization technique for interval objective constrained optimization problems via multiobjective programming
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• Pareto-optimal solutions in fuzzy multi-objective linear programming
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• Mehar's method for solving fully fuzzy linear programming problems with \(L\)-\(R\) fuzzy parameters
• Nearest interval approximation of a fuzzy number
• Multiobjective programming in optimization of the interval objective function
• Interpretation of inequality constraints involving interval coefficients and a solution to interval linear programming.
• Fuzzy goal programming with different importance and priorities
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