For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem
© Springer International Publishing AG 2017. In the traditional fuzzy logic, the expert’s degree of certainty in a statement is described either by a number from the interval [0, 1] or by a subinterval of such an interval. To adequately describe the opinion of several experts, researchers proposed t...
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th-cmuir.6653943832-571652018-09-05T03:45:31Z For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem Vladik Kreinovich Songsak Sriboonchitta Computer Science Mathematics © Springer International Publishing AG 2017. In the traditional fuzzy logic, the expert’s degree of certainty in a statement is described either by a number from the interval [0, 1] or by a subinterval of such an interval. To adequately describe the opinion of several experts, researchers proposed to use a union of the corresponding sets – which is, in general, more complex than an interval. In this paper, we prove that for such set-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull. As a consequence of this result, we prove that the centroid defuzzification of a general type-2 fuzzy set can be reduced to the easier-to-compute case when for each x, the corresponding fuzzy degree of membership is convex. 2018-09-05T03:35:41Z 2018-09-05T03:35:41Z 2017-01-01 Book Series 16113349 03029743 2-s2.0-85028459632 10.1007/978-3-319-62434-1_17 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028459632&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57165 |
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Computer Science Mathematics Vladik Kreinovich Songsak Sriboonchitta For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem |
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© Springer International Publishing AG 2017. In the traditional fuzzy logic, the expert’s degree of certainty in a statement is described either by a number from the interval [0, 1] or by a subinterval of such an interval. To adequately describe the opinion of several experts, researchers proposed to use a union of the corresponding sets – which is, in general, more complex than an interval. In this paper, we prove that for such set-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull. As a consequence of this result, we prove that the centroid defuzzification of a general type-2 fuzzy set can be reduced to the easier-to-compute case when for each x, the corresponding fuzzy degree of membership is convex. |
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Book Series |
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Vladik Kreinovich Songsak Sriboonchitta |
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Vladik Kreinovich Songsak Sriboonchitta |
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Vladik Kreinovich |
title |
For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem |
title_short |
For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem |
title_full |
For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem |
title_fullStr |
For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem |
title_full_unstemmed |
For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem |
title_sort |
for multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: a theorem |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028459632&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57165 |
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