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1. |
Record Nr. |
UNISA990000454080203316 |
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Autore |
BORRELLI, Flora |
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Titolo |
Il decoro, il provvisorio, l'abitare reale / Flora Borrelli, Massimo Giovannini ; presentazione di Franco Purini ; interventi di Antonella Greco e Nicola Aricò |
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Pubbl/distr/stampa |
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Roma : Casa del libro, 1983 |
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Descrizione fisica |
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Collana |
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Collana coordinata dall'Università di Reggio Calabria ; 8 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Disegni architettonici - Reggio Calabria |
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Collocazione |
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XII.2.A. 23(VARIE COLL. 970/2) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNISA990003452270203316 |
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Autore |
DE GIOIA, Valerio |
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Titolo |
Atti giudiziari e tecniche di redazione : civile, penale, amministrativo : formulario per l'avvocato : aggiornato alle riforme del processo civile... / V. De Gioia, P.E. De Simone |
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Pubbl/distr/stampa |
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Roma, : Nel diritto, 20010 |
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ISBN |
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Descrizione fisica |
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Collana |
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Scritti esami avvocato 2010 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910254328903321 |
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Autore |
Mendel Jerry M |
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Titolo |
Uncertain Rule-Based Fuzzy Systems : Introduction and New Directions, 2nd Edition / / by Jerry M. Mendel |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[2nd ed. 2017.] |
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Descrizione fisica |
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1 online resource (XXII, 684 p. 215 illus., 192 illus. in color.) |
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Disciplina |
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Soggetti |
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Electrical engineering |
Computational intelligence |
Artificial intelligence |
Neural networks (Computer science) |
Communications Engineering, Networks |
Computational Intelligence |
Artificial Intelligence |
Mathematical Models of Cognitive Processes and Neural Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion. |
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Sommario/riassunto |
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The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that |
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begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material. Presents fully updated material on new breakthroughs in human-inspired rule-based techniques for handling real-world uncertainties; Allows those already familiar with type-1 fuzzy sets and systems to rapidly come up to speed to type-2 fuzzy sets and systems; Features complete classroom material including end-of-chapter exercises, a solutions manual, and three case studies -- forecasting of time series to knowledge mining from surveys and PID control. |
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