On soft computing with random fuzzy sets in econometrics and machine learning

On soft computing with random fuzzy sets in econometrics and machine learning

© 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Several typical econometric analyses, namely fuzzy coalitional games, regression for causal inference, statistical quality control, and prediction in machine learning, are examined in this paper to point out that soft computing component...

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Main Authors: Roengchai Tansuchat, Uyen Pham, Chon Van Le
Format: Journal
Published: 2020
Subjects:
Computer Science
Mathematics
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087785182&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70459
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Institution: Chiang Mai University
id th-cmuir.6653943832-70459
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spelling th-cmuir.6653943832-704592020-10-14T08:40:32Z On soft computing with random fuzzy sets in econometrics and machine learning Roengchai Tansuchat Uyen Pham Chon Van Le Computer Science Mathematics © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Several typical econometric analyses, namely fuzzy coalitional games, regression for causal inference, statistical quality control, and prediction in machine learning, are examined in this paper to point out that soft computing components such as fuzzy theory and random set theory have a major role to play. The examination of these statistical analyses suggests an extended use of random fuzzy sets, based upon theory of random fuzzy sets, to improve empirical research. 2020-10-14T08:31:17Z 2020-10-14T08:31:17Z 2020-01-01 Journal 14337479 14327643 2-s2.0-85087785182 10.1007/s00500-020-05154-6 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087785182&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70459
institution Chiang Mai University
building Chiang Mai University Library
continent Asia
country Thailand
Thailand
content_provider Chiang Mai University Library
collection CMU Intellectual Repository
topic Computer Science
Mathematics
spellingShingle Computer Science
Mathematics
Roengchai Tansuchat
Uyen Pham
Chon Van Le
On soft computing with random fuzzy sets in econometrics and machine learning
description © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Several typical econometric analyses, namely fuzzy coalitional games, regression for causal inference, statistical quality control, and prediction in machine learning, are examined in this paper to point out that soft computing components such as fuzzy theory and random set theory have a major role to play. The examination of these statistical analyses suggests an extended use of random fuzzy sets, based upon theory of random fuzzy sets, to improve empirical research.
format Journal
author Roengchai Tansuchat
Uyen Pham
Chon Van Le
author_facet Roengchai Tansuchat
Uyen Pham
Chon Van Le
author_sort Roengchai Tansuchat
title On soft computing with random fuzzy sets in econometrics and machine learning
title_short On soft computing with random fuzzy sets in econometrics and machine learning
title_full On soft computing with random fuzzy sets in econometrics and machine learning
title_fullStr On soft computing with random fuzzy sets in econometrics and machine learning
title_full_unstemmed On soft computing with random fuzzy sets in econometrics and machine learning
title_sort on soft computing with random fuzzy sets in econometrics and machine learning
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087785182&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70459
_version_ 1681752906536058880

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