Approximation capability of the convolution methods for fuzzy numbers
Huan Huang
TL;DR
This paper investigates how convolution methods can be used to approximate general fuzzy numbers, providing insights into their approximation capabilities.
Contribution
It demonstrates the approximation process of fuzzy numbers using convolution methods, highlighting their effectiveness and potential applications.
Findings
Convolution methods can effectively approximate fuzzy numbers.
The paper provides theoretical foundations for approximation accuracy.
Potential applications in fuzzy analysis and computation.
Abstract
This paper shows that how to approximate general fuzzy number by using convolution method.
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Taxonomy
TopicsFuzzy Systems and Optimization · Multi-Criteria Decision Making · Optimization and Mathematical Programming