A NOTE TO INTERPRETABLE FUZZY MODELS AND THEIR LEARNING

در اين مقاله توجه خود را معطوف يك نظريه خوش گسترش از مدلهاي فازي / زبان شناختي و آموختني از داده ها معطوف مي سازيم. ما چهار شرط مختلف ارايه مي دهيم كه توجيهي بودن و همچنين توانايي يادگيري اين مدلها را نشان مي دهد.

In this paper we turn the attention to a well developed theory of fuzzy/linguistic models that are interpretable and, moreover, can be learned from the data. We present four different situations demonstrating both interpretability as well as learning abilities of these models.