Subdifferential of fuzzy n-cell number valued functions and its applications in optimization problems
Samira Fatemi, Ildar Sadeqi, Fridoun Moradlou

TL;DR
This paper introduces a new subdifferential concept for fuzzy n-cell number valued functions, establishes related theorems, and applies these to optimization problems such as Lagrangian duality and composite minimization.
Contribution
It proposes a novel subdifferential definition for fuzzy n-cell number valued functions and explores its theoretical properties and applications in optimization.
Findings
Established subdifferentiability theorems for the new concept
Applied the subdifferential to Lagrangian dual problems
Addressed minimization of composite fuzzy functions
Abstract
In this paper, we present the concept of subdifferential for fuzzy n-cell number valued functions. Then we state some theorems related to subdifferentiability based on the new definition. Finally, we present some applications emphasized on optimization problems, including the Lagrangian dual problem and minimizing the composite problem.
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Taxonomy
TopicsFuzzy Systems and Optimization
