1. Calculus of linear fuzzy-number-valued functions using the generalized derivative and the Riemann integral of fuzzy n-cell-number-valued functions
- Author
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Shexiang Hai and Zeng-Tai Gong
- Subjects
0209 industrial biotechnology ,Basis (linear algebra) ,Logic ,Riemann integral ,02 engineering and technology ,Function (mathematics) ,Fuzzy logic ,symbols.namesake ,020901 industrial engineering & automation ,Real-valued function ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,Calculus ,symbols ,Fuzzy number ,020201 artificial intelligence & image processing ,Limit (mathematics) ,Differentiable function ,Mathematics - Abstract
We study the differentiability, integral, and calculus of linear fuzzy-number-valued functions. Special emphasis is placed on the linear fuzzy-number-valued function F ˜ ( t ) = u ˜ 1 f 1 ( t ) + u ˜ 2 f 2 ( t ) + ⋯ + u ˜ m f m ( t ) , where u ˜ 1 , u ˜ 2 , … , u ˜ m denote fuzzy n-cell numbers and f 1 , f 2 , … , f m represent real functions of a real variable. The concepts of the limit and continuity of fuzzy n-cell-number-valued functions are defined, which are the basis for studying the calculus of linear fuzzy-number-valued functions. Using the fuzzy generalized difference introduced by Gomes and Barros (2015) [8] , we define a generalized difference for fuzzy n-cell numbers. Then a generalized differentiability of fuzzy n-cell-number-valued functions is proposed, and a sufficient condition for generalized differentiability of linear fuzzy-number-valued functions is given by means of real function theory. Furthermore, a Riemann integral of fuzzy n-cell-number-valued functions is introduced, and some properties of the integral are discussed. Finally, the relationship between generalized differentiability and the Riemann integral of the linear fuzzy-number-valued function F ˜ ( t ) = u ˜ 1 f 1 ( t ) + u ˜ 2 f 2 ( t ) + ⋯ + u ˜ m f m ( t ) is derived.
- Published
- 2022