we have sets: A, which represents a set of three different animals, D, which represents a set of three different animal diseases, and S, which represents a set of common symptoms of these diseases. Using lab observations, we were able to formulate the relation between A and D as follows Similarly, the relation between D and S is formulated as follows D₁ D₂ D₂ A₁ [0.6 0.2 0.81 R=A₂ 0.1 0.5 0.7 A3 Lo.9 0.4 0.3 S v

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Use fuzzy logic to calculate the association of animals with different symptoms R ₀ T using

  1. Max-min composition

  2. Max-product composition
Assuming that we have three sets:
A, which represents a set of three different animals,
D, which represents a set of three different animal diseases, and
S, which represents a set of common symptoms of these diseases.
Using lab observations, we were able to formulate the relation between A and D as follows
Similarly, the relation between D and S is formulated as follows
D₁ D₂ D₂
A₁ [0.6 0.2 0.81
R=A₂ 0.1 0.5 0.7
A3 L0.9 0.4 0.3]
S₁
D₁ [0.8
T = D₂ 0.7
S2 Sa
0.7 0.31
0.8 0.9
D3 L0.9 0.6 0.2]
Use fuzzy logic to calculate the association of animals with different symptoms R. T using
Transcribed Image Text:Assuming that we have three sets: A, which represents a set of three different animals, D, which represents a set of three different animal diseases, and S, which represents a set of common symptoms of these diseases. Using lab observations, we were able to formulate the relation between A and D as follows Similarly, the relation between D and S is formulated as follows D₁ D₂ D₂ A₁ [0.6 0.2 0.81 R=A₂ 0.1 0.5 0.7 A3 L0.9 0.4 0.3] S₁ D₁ [0.8 T = D₂ 0.7 S2 Sa 0.7 0.31 0.8 0.9 D3 L0.9 0.6 0.2] Use fuzzy logic to calculate the association of animals with different symptoms R. T using
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