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Experts, Expertsystemen en besluitvorming. Een wereld vol kopzorgen
Twee soorten beslissingen: ,[object Object],[object Object]
Twee soorten kennis: Wetenschappelijke of formele kennis Ervarings kennis deduceren induceren Bottom up Top down
Besluitvormingsmodellen:
Regelgebaseerd redeneren: E 1 start E 2 E 3 E 4 E 6 D 1 D 2 D 3 T T F F F F T F D 4 D 5 T T E 1 .  E 2 .(E 3 .    E 6  +     E 3 .    E 4 )   D 1
In de vorm van twee regels: IF: AND E 1  = True E 2  = False E 3  = True E 6  = False THEN:  D 1 E 1 .  E 2 .(E 3 .    E 6  +     E 3 .    E 4 )   D 1 IF: AND E 1  = True E 2  = False E 3  = False E 4  = False THEN:  D 1
In de vorm van drie regels: IF: AND E 1  = True E 2  = False THEN:  D 1A IF: AND D 1A  = True E 3  = True E 6  = False THEN:  D 1 IF: AND D 1A  = True E 3  = False E 4  = False THEN:  D 1 E 1 .  E 2 .(E 3 .    E 6  +     E 3 .    E 4 )   D 1
Vormen van redeneren: Forward reasoning Backward reasoning Hypothese (diagnose) Data Hypothese (diagnose) Data
Backward reasoning: E 1 start E 2 E 3 E 4 E 6 D 1 D 2 D 3 T T F F F F T F D 4 D 5 T T
Beslissen met (on)zekerheid -100 100 0 -20 20 bekend onbekend niet bekend waar onwaar
Voorbeeld: IF: AND E 1  (CF 1  = 0.70) (CF 1  = -0.70) (CF 1  =  0.7) E 2  (CF 2  = 0.40) (CF 2  = -0.40) (CF 2  = -0.4) THEN:  D 1  (CF 3  = 0.82) (CF 3  = -0.82) (CF 3  =  0.5) 1.  CF = CF 1  + CF 2  (1-CF 1  ) 2.  CF = 0 - ( |CF 1 | + |CF 2 | (1 - |CF 1 | )) 3.  CF = (CF 1  + CF 2 ) / (1 - MIN(|CF 1 |, |CF 2 |)) 1. 2. 3.
Voordelen van  beslissingsondersteuning: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Problemen bij  beslissingsondersteuning: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Facultatief Practicum: ,[object Object],[object Object],[object Object],(bij voldoende belangstelling)
Aanbevolen literatuur: ,[object Object],[object Object]

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Experts, Expertsystemen - Kopzorgen 1998

  • 1. Experts, Expertsystemen en besluitvorming. Een wereld vol kopzorgen
  • 2.
  • 3. Twee soorten kennis: Wetenschappelijke of formele kennis Ervarings kennis deduceren induceren Bottom up Top down
  • 5. Regelgebaseerd redeneren: E 1 start E 2 E 3 E 4 E 6 D 1 D 2 D 3 T T F F F F T F D 4 D 5 T T E 1 .  E 2 .(E 3 .  E 6 +  E 3 .  E 4 )  D 1
  • 6. In de vorm van twee regels: IF: AND E 1 = True E 2 = False E 3 = True E 6 = False THEN: D 1 E 1 .  E 2 .(E 3 .  E 6 +  E 3 .  E 4 )  D 1 IF: AND E 1 = True E 2 = False E 3 = False E 4 = False THEN: D 1
  • 7. In de vorm van drie regels: IF: AND E 1 = True E 2 = False THEN: D 1A IF: AND D 1A = True E 3 = True E 6 = False THEN: D 1 IF: AND D 1A = True E 3 = False E 4 = False THEN: D 1 E 1 .  E 2 .(E 3 .  E 6 +  E 3 .  E 4 )  D 1
  • 8. Vormen van redeneren: Forward reasoning Backward reasoning Hypothese (diagnose) Data Hypothese (diagnose) Data
  • 9. Backward reasoning: E 1 start E 2 E 3 E 4 E 6 D 1 D 2 D 3 T T F F F F T F D 4 D 5 T T
  • 10. Beslissen met (on)zekerheid -100 100 0 -20 20 bekend onbekend niet bekend waar onwaar
  • 11. Voorbeeld: IF: AND E 1 (CF 1 = 0.70) (CF 1 = -0.70) (CF 1 = 0.7) E 2 (CF 2 = 0.40) (CF 2 = -0.40) (CF 2 = -0.4) THEN: D 1 (CF 3 = 0.82) (CF 3 = -0.82) (CF 3 = 0.5) 1. CF = CF 1 + CF 2 (1-CF 1 ) 2. CF = 0 - ( |CF 1 | + |CF 2 | (1 - |CF 1 | )) 3. CF = (CF 1 + CF 2 ) / (1 - MIN(|CF 1 |, |CF 2 |)) 1. 2. 3.
  • 12.
  • 13.
  • 14.
  • 15.