Existence of Hukuhara differentiability of fuzzy-valued functions
U. M. Pirzada, D. C. Vakaskar

TL;DR
This paper investigates the conditions under which fuzzy-valued functions are Hukuhara differentiable, exploring higher-order differentiability, effects of fuzzy modeling, and comparing gH- and H-differentiability through examples.
Contribution
It provides a detailed analysis of Hukuhara differentiability for fuzzy-valued functions, including higher-order cases and the impact of fuzzy modeling, with comparative insights on gH- and H-differentiability.
Findings
Fuzzy-valued functions can be one, two, or n-times H-differentiable.
Fuzzy modeling influences the existence of Hukuhara differentiability.
gH-differentiability has distinct properties compared to H-differentiability.
Abstract
In this paper, we discuss existence of Hukuhara differentiability of fuzzy-valued functions. Several examples are worked out to check that fuzzy-valued functions are one time, two times and n-times H-differentiable. We study the effects of fuzzy modelling on existence of Hukuhara differentiability of fuzzy-valued functions. We discuss existence of gH-differentiability and its comparison with H-differentiability.
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Taxonomy
TopicsFuzzy Systems and Optimization · Fuzzy Logic and Control Systems · Multi-Criteria Decision Making
