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020 _a9783030815615
024 7 _a10.1007/978-3-030-81561-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA248
_b2022 EB
245 0 0 _aFuzzy Information Processing 2020 :
_bProceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020
_cedited by Barnabás Bede, Martine Ceberio, Martine De Cock, Vladik Kreinovich
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (X, 456 páginas)
_b167 ilustraciones, 137 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aAdvances in Intelligent Systems and Computing
_x2194-5365
_v1337
505 0 _aPowerset operators in categories with fuzzy relations dened by monads -- Improved Fuzzy Q-Learning with Replay Memory -- The ulem package: underlining for emphasis -- A Dynamic Hierarchical Genetic-Fuzzy Sugeno Network -- Fuzzy Mathematical Morphology and Applications in Image Processing.
520 _aThis book describes how to use expert knowledge-which is often formulated by using imprecise (fuzzy) words from a natural language. In the 1960s, Zadeh designed special "fuzzy" techniques for such use. In the 1980s, fuzzy techniques started controlling trains, elevators, video cameras, rice cookers, car transmissions, etc. Now, combining fuzzy with neural, genetic, and other intelligent methods leads to new state-of-the-art results: in aerospace industry (from drones to space flights), in mobile robotics, in finances (predicting the value of crypto-currencies), and even in law enforcement (detecting counterfeit banknotes, detecting online child predators and in creating explainable AI systems). The book describes these (and other) applications-as well as foundations and logistics of fuzzy techniques. This book can be recommended to specialists-both in fuzzy and in various application areas-who will learn latest techniques and their applications, and to students interested in innovative ideas.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9152594
_aLógica difusa
_vCongresos y asambleas
776 0 8 _iPrinted edition:
_z9783030815608
776 0 8 _iPrinted edition:
_z9783030815622
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-3-030-81561-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2023
_dz
_eIG
_zSI