From fuzzy information processing to fuzzy communication channels

The concept of forty information becomes a cornerstone of processing and handling linguistic data. As opposed to numeric information whose processing is well known and fully supported by a vast number of algorithms by entering the area of linguistic information processing we are immediately faced with a genuine need to revisit the fundamental concepts. We first review a notion of information granularity as a primordial concept playing a key role in human cognition. Dwelling on that, the study embarks on the concept of communication with fuzzy sets. In particular, we discuss a so-called fuzzy communication channel. The ideas of communication exploiting forty information call for its efficient encoding and decoding that subsequently leads to minimal losses of transmitted information. Interestingly enough, the incurred losses depend heavily on the granularity of the linguistic information involved-in this way one can take advantage of the level of uncertainty residing within the transmitted information granules