Fuzzy Data Processing Beyond Min t-Norm

Autor: Vladik Kreinovich, Andrzej Pownuk, Songsak Sriboonchitta
Rok vydání: 2017
Předmět:
Zdroj: Complex Systems: Solutions and Challenges in Economics, Management and Engineering ISBN: 9783319699882
DOI: 10.1007/978-3-319-69989-9_14
Popis: 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.
Databáze: OpenAIRE