Please use this identifier to cite or link to this item: https://dspace.chmnu.edu.ua/jspui/handle/123456789/3383
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dc.contributor.authorTimchenko, V.-
dc.contributor.authorKreinovich, V.-
dc.contributor.authorKondratenko, Y.-
dc.contributor.authorIegorov, O.-
dc.date.accessioned2026-10-06T07:07:28Z-
dc.date.available2026-10-06T07:07:28Z-
dc.date.issued2026-
dc.identifier.isbn978-874381030-8, 978-874381034-6, 978-874381031-5-
dc.identifier.urihttps://www.scopus.com/pages/publications/105050443738?discoveryEventID=f4b41bff-7da9-4f69-b528-aab8a6bfd168&alertType=scopusaffil&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_ru_ru_email-
dc.identifier.urihttps://dspace.chmnu.edu.ua/jspui/handle/123456789/3383-
dc.descriptionTimchenko, V., Kreinovich, V., Kondratenko, Y., & Iegorov, O. (2026). Optical Color Computing Architecture in Decision Support Systems. Optical Color Computing: Fuzzy Logic and Digital Calculations, P. 39–65.uk_UA
dc.description.abstractIn this chapter, we carry out a comparative analysis of the efficiency of optical color logic devices in processing fuzzy input information in comparison with various algorithms (FPGA, x86-x64, ARM, ARM serial execution) based on the binary representation of fuzzy sets. To implement the proposed optical architecture for constructing a decision support system (DSS), we describe the principles of forming a real-time changing multifactorial fuzzy color database. These principles are illustrated on the example of components of a dispatch service for managing intensive traffic of sea ships and/or aircraft. We present examples of implementing components of a two-level DSS for traffic safety management and for organizing servicing of sea vessels and aircraft. The results of the performance evaluation of computational operations with fuzzy sets demonstrate a higher speed of optical computations due to a significantly smaller number of operations and the organization of parallel structures. We also provide examples of using logical operations in DSS to obtain estimates for a certain set of input data. These examples show the effectiveness of the proposed approach.uk_UA
dc.language.isoenuk_UA
dc.publisherRiver Publishersuk_UA
dc.subjectaircraftuk_UA
dc.subjectdecision support systemuk_UA
dc.subjectEfficiencyuk_UA
dc.subjectfuzzy optical coloroiduk_UA
dc.subjectmedical solutionsuk_UA
dc.subjectsafetyuk_UA
dc.subjectshipuk_UA
dc.titleOptical Color Computing Architecture in Decision Support Systemsuk_UA
dc.typeBook chapteruk_UA
Appears in Collections:Публікації науково-педагогічних працівників ЧНУ імені Петра Могили у БД Scopus

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