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|Title:||Fuzzy data processing beyond min t-norm|
|Keywords:||Computer Science;Decision Sciences;Economics, Econometrics and Finance;Engineering;Mathematics;Social Sciences|
|Abstract:||© 2018, Springer International Publishing AG. Usual algorithms for fuzzy data processing—based on the usual form of Zadeh’s extension principle—implicitly assume that we use the min “and”-operation (t-norm). It is known, however, that in many practical situations, other t-norms more adequately describe human reasoning. It is therefore desirable to extend the usual algorithms to situations when we use t-norms different from min. Such an extension is provided in this chapter.|
|Appears in Collections:||CMUL: Journal Articles|
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