Why do people insist to use the term “multilayer perceptron” instead of “multilayer perceptron network”?

The perceptron model describes a linear classifier. Often people use the term "multilayer perceptron" to describe a feedforward neural network that uses perceptrons. This terminology simply sounds wrong to me, since this type of network does not necessarily behave like a perceptron; that is to say - it may act as a nonlinear classifier, which is clearly not a perceptron; it is not a single perceptron containing multiple layers, but a multilayer network containing perceptrons.

Wouldn't it be proper to use the term "multilayer perceptron network" to describe this type of network instead? I can't seem to find a reliable reference that discusses this issue, but there is a section about it in the corresponding Wikipedia article.