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dc.contributor.authorTimchenko, V. L.-
dc.contributor.authorKondratenko, Y. P.-
dc.contributor.authorKosheleva, O.-
dc.contributor.authorKreinovich, V.-
dc.contributor.authorHoang Phuong, N.-
dc.date.accessioned2024-09-09T12:26:57Z-
dc.date.available2024-09-09T12:26:57Z-
dc.date.issued2024-
dc.identifier.issn21984182-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-031-63929-6_5-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85202541656&doi=10.1007%2f978-3-031-63929-6_5&partnerID=40&md-
dc.identifier.urihttps://dspace.chmnu.edu.ua/jspui/handle/123456789/2465-
dc.descriptionTimchenko, V. L., Kondratenko, Y. P., Kosheleva, O., Kreinovich, V., & Hoang Phuong, N. (2024). Towards a Psychologically Natural Relation Between Colors and Fuzzy Degrees. Studies in Systems, Decision and Control, 543, 39-46. DOI: 10.1007/978-3-031-63929-6_5uk_UA
dc.description.abstractA natural way to speed up computations—in particular, computations that involve processing fuzzy data—is to use the fastest possible communication medium: light. Light consists of components of different color. So, if we use optical color computations to process fuzzy data, we need to associate fuzzy degrees with colors. One of the main features—and of the main advantages—of fuzzy technique is that the corresponding data has intuitive natural meaning: this data comes from words from natural language. It is desirable to preserve this naturalness as much as possible. In particular, it is desirable to come up with a natural relation between colors and fuzzy degrees. In this paper, we show that there is exactly one such natural relation, and we describe this relation.uk_UA
dc.language.isoenuk_UA
dc.publisherSpringer Science and Business Media Deutschland GmbHuk_UA
dc.titleTowards a Psychologically Natural Relation Between Colors and Fuzzy Degreesuk_UA
dc.typeBook chapteruk_UA
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