The concept of fuzzy information becomes a cornerstone of processing and handling linguistic data. As opposed to processing of numeric information where there is a wealth of advanced methods, 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 interacting at the level of fuzzy sets. In particular, we discuss a basic construct of a fuzzy communication channel. The ideas of communication exploiting fuzzy 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 uncertainty residing within the transmitted information granules and exploit it in the design of the corresponding channel.
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1 July 1999
Conceptual Paper|
July 01 1999
From fuzzy information processing to fuzzy communication channels
W. Pedrycz;
W. Pedrycz
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada
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E. Roventa
E. Roventa
Department of Computer Science, Glendon College, York University, Toronto, Canada
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Publisher: Emerald Publishing
Online ISSN: 1758-7883
Print ISSN: 0368-492X
© MCB UP Limited
1999
Kybernetes (1999) 28 (5): 515–526.
Citation
Pedrycz W, Roventa E (1999), "From fuzzy information processing to fuzzy communication channels". Kybernetes, Vol. 28 No. 5 pp. 515–526, doi: https://doi.org/10.1108/03684929910277742
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