Revisiting Linguistic Approximation for Computing with Words

摘要

Any computing with words (CW) system is required to assign a phrase in natural language to the fuzzy values it provides as its output. This paper explores different linguistic approximation methods for CW systems. The outputs of these methods are evaluated through various measures such as fuzziness, specificity, validity, and sigma-count. We illustrate that certain linguistic methods may result in complex and incomprehensible phrases in natural language. Some might even include an invalid linguistic term in their linguistic approximation.