Abstract
The processing of vague data recently becomes one of attractive topics in the fuzzy set theory and its applications. As the vagueness is usually represented by some verbal expressions, this branch of the fuzzy sets is frequently called “computing with words”. Seemingly, but only seemingly, it could be understood as computational processing of fuzzy numbers or fuzzy quantities in the already classical sense. Other authors understand the computing with words rather as a fuzzy logical discipline being near to fuzzy reasoning methods and other related branches. Both approaches are rational and fully acceptable but, in the matter of facts, none of them appears to be complete. Their parallel existence offers a conclusion that the fair approach to computing with words can consist in some kind of their combination. Computing with words has two faces — quantitative and qualitative one — and each of them would be somehow reflected. The fuzzy set theoretical model of verbal variables, their generating and processing suggested in this contribution and in some of the referred papers is intended to offer such combined view on the quantitative — qualitative dualism existing in the “computing with words” and to develop at least elementary methods for manipulation with such dualistic verbal data.
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Mareš, M., Mesiar, R. (2002). Verbally Generated Fuzzy Quantities and Their Aggregation. In: Calvo, T., Mayor, G., Mesiar, R. (eds) Aggregation Operators. Studies in Fuzziness and Soft Computing, vol 97. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1787-4_11
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DOI: https://doi.org/10.1007/978-3-7908-1787-4_11
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