Fuzzy data processing beyond min t-norm
© 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 descr...
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th-cmuir.6653943832-585932018-09-05T04:40:50Z Fuzzy data processing beyond min t-norm Andrzej Pownuk Vladik Kreinovich Songsak Sriboonchitta Computer Science Decision Sciences Economics, Econometrics and Finance Engineering Mathematics Social Sciences © 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. 2018-09-05T04:26:35Z 2018-09-05T04:26:35Z 2018-01-01 Book Series 21984190 21984182 2-s2.0-85032701170 10.1007/978-3-319-69989-9_14 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85032701170&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58593 |
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Chiang Mai University |
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Chiang Mai University Library |
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Thailand |
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| topic |
Computer Science Decision Sciences Economics, Econometrics and Finance Engineering Mathematics Social Sciences |
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Computer Science Decision Sciences Economics, Econometrics and Finance Engineering Mathematics Social Sciences Andrzej Pownuk Vladik Kreinovich Songsak Sriboonchitta Fuzzy data processing beyond min t-norm |
| description |
© 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. |
| format |
Book Series |
| author |
Andrzej Pownuk Vladik Kreinovich Songsak Sriboonchitta |
| author_facet |
Andrzej Pownuk Vladik Kreinovich Songsak Sriboonchitta |
| author_sort |
Andrzej Pownuk |
| title |
Fuzzy data processing beyond min t-norm |
| title_short |
Fuzzy data processing beyond min t-norm |
| title_full |
Fuzzy data processing beyond min t-norm |
| title_fullStr |
Fuzzy data processing beyond min t-norm |
| title_full_unstemmed |
Fuzzy data processing beyond min t-norm |
| title_sort |
fuzzy data processing beyond min t-norm |
| publishDate |
2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85032701170&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58593 |
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