Cubic interpolation: a line search technique for fuzzy optimization problems

DOI10.1007/s40819-017-0450-1zbMath1387.90290OpenAlexW2775174976MaRDI QIDQ1700464

Publication date: 6 March 2018

Published in: International Journal of Applied and Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40819-017-0450-1

zbMATH Keywords

fuzzy optimization generalized Hukuhara differentiability line search technique cubic interpolation method

Mathematics Subject Classification ID

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

Cites Work

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Newton method to obtain efficient solutions of the optimization problems with interval-valued objective functions
A Newton method for capturing efficient solutions of interval optimization problems
Elementary fuzzy calculus
Ranking fuzzy numbers with integral value.
Analytical fuzzy plane geometry. I
Differentials of fuzzy functions
Fuzzy optimization. Recent advances and applications
Inequality relation between fuzzy numbers and its use in fuzzy optimization
Towards fuzzy differential calculus. III: Differentiation
A new approach for ranking fuzzy numbers by distance method
Ranking fuzzy numbers based on decomposition principle and signed distance.
Analytical fuzzy plane geometry. III
A method for capturing the entire fuzzy non-dominated set of a fuzzy multi-criteria optimization problem
On the Newton method for solving fuzzy optimization problems
Generalizations of the differentiability of fuzzy-number-valued functions with applications to fuzzy differential equations
Quadratic interpolation technique to minimize univariable fuzzy functions
Newton method for solving the multi-variable fuzzy optimization problem
Fuzzy mathematics: approximation theory
Analytical fuzzy plane geometry. II
Generalized differentiability of fuzzy-valued functions
Ranking \(L-R\) fuzzy number based on deviation degree
Optimal solutions in optimization problem with objective function depending on fuzzy parameters
A new approach for ranking fuzzy numbers based on fuzzy simulation analysis method
Optimization theory and methods. Nonlinear programming
A differential calculus for multifunctions
A Generalization of Hermite's Interpolation Formula
On ordering fuzzy numbers
Existence of Hukuhara Differentiability of Fuzzy-Valued Functions
A new method to obtain fuzzy Pareto set of fuzzy multi-criteria optimization problems
Nonlinear Programming
Decision-Making in a Fuzzy Environment
Reasonable properties for the ordering of fuzzy quantities. I

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