8. Logica vaga - Universitatea Tehnică Gheorghe Asachi
8. Logica vaga - Universitatea Tehnică Gheorghe Asachi 8. Logica vaga - Universitatea Tehnică Gheorghe Asachi
number_of_spares 0.35 0.3 0.25 0.2 0.15 0 0.2 Baza de reguli 3 0.4 mean_delay 0.6 0 0.2 0.4 0.6 0.8 number_of_servers Florin Leon, Inteligenta artificiala, http://florinleon.byethost24.com/curs_ia.htm 1 98
number_of_spares 0.5 0.4 0.3 0.2 0 0.2 Baza de reguli 3 0.4 mean_delay 0.6 0 0.2 0.4 0.6 utilisation_factor Florin Leon, Inteligenta artificiala, http://florinleon.byethost24.com/curs_ia.htm 0.8 1 99
- Page 47 and 48: Degree of Membership 1.0 0.8 0.6 0.
- Page 49 and 50: Modus Ponens generalizat Florin Leo
- Page 51 and 52: Inferenţa Mamdani (max-min) Florin
- Page 53 and 54: Inferenţa Mamdani (III) Florin Leo
- Page 55 and 56: Inferenţa Larsen (II) Florin Leon,
- Page 57 and 58: Defuzzificarea Reprezintă obţine
- Page 59 and 60: Inferenţa Mamdani cu reguli multip
- Page 61 and 62: Pasul 1. Fuzzificarea Pentru intr
- Page 63 and 64: Evaluarea de tip Mamdani Florin Leo
- Page 65 and 66: Pasul 4. Defuzzificarea Mulţimile
- Page 67 and 68: Inferenţa Sugeno Florin Leon, Inte
- Page 69 and 70: Exemplu Florin Leon, Inteligenta ar
- Page 71 and 72: Evaluarea de tip Sugeno de ordin ze
- Page 73 and 74: Mamdani sau Sugeno? Metoda Mamdani
- Page 75 and 76: Studiu de caz Un centru de service
- Page 77 and 78: Specificarea problemei şi definire
- Page 79 and 80: Determinarea mulţimilor fuzzy De
- Page 81 and 82: Numărul de angajaţi s Florin Leon
- Page 83 and 84: Numărul de piese de schimb n Flori
- Page 85 and 86: Reprezentarea regulilor prin memori
- Page 87 and 88: Baza de reguli 2: tabela de reguli
- Page 89 and 90: Implementarea sistemului Folosind
- Page 91 and 92: number_of_spares 0.6 0.5 0.4 0.3 0.
- Page 93 and 94: number_of_spares 0.35 0.3 0.25 0.2
- Page 95 and 96: Rafinarea Dacă performanţele nu
- Page 97: Baza de reguli 3: memoria asociativ
- Page 101 and 102: Rafinarea sistemelor fuzzy (II) Se
- Page 103 and 104: Exemple Sistem de control fuzzy pe
- Page 105 and 106: Pendulul inversat Intrări Unghiu
- Page 107 and 108: θ dθ/dt Abordarea fuzzy Mulţime
- Page 109 and 110: Consecvenţii fuzzy şi reuniunea l
- Page 111 and 112: Alt exemplu de implementare http://
- Page 113 and 114: Macaraua - reguli Florin Leon, Inte
- Page 115 and 116: Alte aplicaţii din „lumea reală
- Page 117: Concluzii Logica fuzzy oferă posi
number_of_spares<br />
0.5<br />
0.4<br />
0.3<br />
0.2<br />
0<br />
0.2<br />
Baza de reguli 3<br />
0.4<br />
mean_delay<br />
0.6<br />
0<br />
0.2<br />
0.4<br />
0.6<br />
utilisation_factor<br />
Florin Leon, Inteligenta artificiala, http://florinleon.byethost24.com/curs_ia.htm<br />
0.8<br />
1<br />
99
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