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020 _a9783030722807
024 7 _a10.1007/978-3-030-72280-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.89
_b2021 EB
100 1 _aDombi, József
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9682070
245 1 0 _aExplainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
_cby József Dombi, Orsolya Csiszár.
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XXI, 173 páginas)
_b56 ilustraciones, 50 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aStudies in Fuzziness and Soft Computing
_x1434-9922
_v408
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aChapter 1: Connectives: Conjunctions, Disjunctions and Negations -- Chapter 2: Implications -- Chapter 3: Equivalences -- Chapter 4: Modifiers and Membership Functions in Fuzzy Sets -- Chapter 5: Aggregative Operators -- Chapter 6: Preference Operators.
520 3 _aThe research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.
988 _aSpringer_Robotics_2021
650 7 _2embne
_9166090
_aAprendizaje automático
700 _aCsiszár, Orsolya
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9682071
776 0 8 _iPrinted edition:
_z9783030722791
776 0 8 _iPrinted edition:
_z9783030722814
776 0 8 _iPrinted edition:
_z9783030722821
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72280-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE