AE4M33RZN, Fuzzy logic: Fuzzy relations

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AE4M33RZN, Fuzzy logic: Fuzzy relations

AE4M33RZN, Fuzzy logic: Fuzzy relations

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<strong>Fuzzy</strong> vs. probability<br />

• Vagueness vs. uncertainty.<br />

• <strong>Fuzzy</strong> <strong>logic</strong> is functional.

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Klasické plánování

Prohledávání stavového prostoru I: BFS & DFS

Vytěžování dat – přednáška 9

Vytěžování dat – přednáška 7

Evolutionary Algorithms: Introduction Jiˇr´ı Kubal´ık Department of ...

Deskripcn´ı logika

(CSP – Constraint Satisfaction Problems) Jiˇr´ı

Classical Planning

Vytežování Dat Prednáška 11 – Testování modelu: krížová validace ...

RANSAC [Fischler, Bolles '81]

Neinformované metody prohledáván´ı stavového prostoru Michal ...

Klasické plánování II a rozvrhování

Planning: Part 3 Planning Graphs

Co je rozhodovací strom?

Google: “probability” Sources: Life123, WhatWeKnowSoFar, Probability Problems.

<strong>Fuzzy</strong> vs. probability • Vagueness vs. uncertainty. • <strong>Fuzzy</strong> <strong>logic</strong> is functional.

Page 1 and 2: AE4M33RZN, Fuzzy logic: Fuzzy relat
Page 3: Fuzzy implication We already know f
Page 13 and 14: Generalized fuzzy inclusion: Exampl
Page 18 and 19: Cutworhiness: Examples • The theo
Page 22 and 23: Crisp relations Definition A binary
Page 24 and 25: Crisp relations: Properties The equ
Page 26 and 27: Projection Defintion Let R ∈
Page 28 and 29: Cylindrical extension Can we recons
Page 30 and 31: Composition of fuzzy relations Defi
Page 32 and 33: Properties of fuzzy relations Then
Page 34 and 35: Example on fuzzy relation propertie
Page 36 and 37: Proof of 234. Proving (21) and (22)
Page 38: Extensions: Sometimes it is useful