2011-03-29 London - Decision tables in depth (Michael Anstis)

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The document discusses decision tables, including an overview of types, validation and verification, transformation to decision trees, and current and future capabilities in Guvnor. Decision tables provide a compact way to model large rule sets and come in various types like horizontal/vertical layout, limited/extended entry, single-hit/multi-hit, and expanded/contracted form. Validation checks for redundancy, ambivalence, and deficiency, while transformation converts tables to decision trees. Guvnor currently supports key capabilities and its roadmap includes more features and optimizations.

Compact way to model large sets of related rules. ,[object Object],[object Object]

Agenda ,[object Object],[object Object],[object Object]

Extended entry ,[object Object],[object Object]

Categorisation ,[object Object],[object Object]

The number of columns should equal the product of the number of states for every condition. ,[object Object],2 * 2 * 2 = 8 combinations ,[object Object],3 * 3 * 4 = 36 combinations

Not essential for expansion but ensures completeness ,[object Object]

Reduces the number of condition columns.

If the same actions exist for rules covering all condition states for a given condition they can be combined and the condition state becomes irrelevant.

Condition columns are not mutually exclusive

If the Condition columns are not exclusive, some combination of conditions are present in more than one column, which may lead to ambiguity or inconsistency.

Categorisation ,[object Object],Given a 35 year old with 15 years service 1. Rule 1 matches, giving 22 days 2. Rule 5 matches, giving an additional 3 days 3. A total of 25 days is assigned

An ARIMAX model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms. It is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. ARIMAX provides forecasted values of the target variables for user-specified time periods to illustrate results for planning, production, sales and other factors.

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2011-03-29 London - Decision tables in depth (Michael Anstis)

1. Michael Anstis Decision Tables in depth

3. Types

4. Validation & Verification

5. Transformation

6. Decision Tables in Guvnor

7. Roadmap

8. Summary

9. Q&A

10.

11. Validation & Verification

12. Transformation

13. Decision Tables in Guvnor

14. Roadmap

15. Summary

16. Q&A

17.

18.

19.

20. Transformation

21. Decision Tables in Guvnor

22. Roadmap

23. Summary

24. Q&A

25.

26. Vertical

27. Limited entry

28.

29. Multi-hit, all hits

30. Multi-hit, first hit

31. Single hit

32.

33.

34.

35.

36.

37.

38.

39.

40.

41.

42. Reduces the number of condition columns.

43. If the same actions exist for rules covering all condition states for a given condition they can be combined and the condition state becomes irrelevant.

44.

45.

46.

47. Condition columns are not mutually exclusive

48. If the Condition columns are not exclusive, some combination of conditions are present in more than one column, which may lead to ambiguity or inconsistency.

49.

50.

51. Condition columns are not mutually exclusive.

52. If the Condition columns are not exclusive, some combination of conditions are present in more than one column, which may lead to ambiguity or inconsistency.

53.

54.

55. Condition columns are mutually exclusive

56. As the Condition columns are exclusive; combinations of conditions cannot be present in more than one column which eliminates ambiguity and inconsistency.

57. Classic form if Single-hit is "expanded decision table"; but this can be optimised or “contracted”.

58.

59.

60.

61. Decision Tables in Guvnor

62. Roadmap

63. Summary

64. Q&A

65.

66. Ambivalence (conflicting)

67. Deficiency

68. Mitigation