# Article

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Keywords:
fuzzy connectives; fuzzy implication; distributivity; functional equations
Summary:
Distributivity of fuzzy implications over different fuzzy logic connectives have a very important role to play in efficient inferencing in approximate reasoning, especially in fuzzy control systems (see [9, 15] and [4]). Recently in some considerations connected with these distributivity laws, the following functional equation appeared (see [5]) $$f(\min(x+y,a))=\min(f(x)+f(y),b),$$ where $a,b>0$ and $f\colon[0,a]\to[0,b]$ is an unknown function. In this paper we consider in detail a generalized version of this equation, namely the equation $$f(m_1(x+y))=m_2(f(x)+f(y)),$$ where $m_1,m_2$ are functions defined on some intervals of ${\mathbb R}$ satisfying additional assumptions. We analyze the cases when $m_2$ is injective and when $m_2$ is not injective.
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