A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Abstract: A new method for the defuzzification of fuzzy numbers is developed in this paper. As is well-known, defuzzification methods allow to find aggregative crisp numbers for fuzzy numbers. But ...
Depreciation expense can be a big portion of a company’s total expense. And since expenses decrease income, it affects the overall value of a company. Understanding what it is and the methods can help ...
ABSTRACT: In this paper, we introduce a method to obtain the nearest trapezoidal approximation of fuzzy numbers so that preserving conditions expect interval and include the core of a fuzzy number.
ABSTRACT: In this paper, we introduce a method to obtain the nearest trapezoidal approximation of fuzzy numbers so that preserving conditions expect interval and include the core of a fuzzy number.
Abstract: Defuzzification is used to transform fuzzy inference results into crisp output. The standard defuzzification methods fail in some applications. It is, therefore, important to select ...
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