A framework for case based reasoning in engineering design
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A framework for case-based reasoning in engineering design. H.Shiva Kumar and C.S. Krishnamoorthy, Artificial Intelligence for Engineering Design, Analysis and Manufacturing 1995. 指導老師 : 何正信教授 學生:潘立偉 學號: M8702048 日期: 87/11/28. Index. CBR process The framework for CBR

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A framework for case-based reasoning in engineering design

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A framework for case based reasoning in engineering design

A framework for case-based reasoning in engineering design

H.Shiva Kumar and C.S. Krishnamoorthy,

Artificial Intelligence for Engineering Design, Analysis and Manufacturing 1995

指導老師 : 何正信教授

學生:潘立偉

學號:M8702048

日期:87/11/28

NTUST Ailab Li-we Pan


Index

Index

  • CBR process

  • The framework for CBR

  • Organization of CBR model

  • Architecture of CASETOOL

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Cbr process

CBR process

  • Case retrieval

    • Proper indexing if the cases is of critical importance for selecting the relevant

    • Indexing the cases point

      • Indices must be truly relevant

      • Indices must be generalized to enable selection of all the closely fitting cases

      • Indices should not be over-generalized to include very loosely fitting cases

NTUST Ailab Li-we Pan


A framework for case based reasoning in engineering design

  • Retrieval based on the qualitative and quantitative similarities of past cases.

  • Determination of the extent of similarities based on the actual deviations in the values of governing attributes.

  • Determination of past performance of past critical evaluations in order to anticipate the potential of failure of each solution.

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A framework for case based reasoning in engineering design

  • Solution transformation

    • Adapting the old cases to suit the requirements of new situations.

    • Focusing on the appropriate portions of the case

    • Deriving an appropriate decision on the new case

      • Direct solution transfer

      • Solution transfer with modifications

      • Solution building using the same methods adopted in a similar previous case

      • Schema-based solution transfer

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A framework for case based reasoning in engineering design

  • An engineering design solution can be represented in the form hierarchical decomposition of components

  • Arranging the relevant parts of cases to be taken up in the order of preference.

  • Solution transformation at the subgoal level

NTUST Ailab Li-we Pan


A framework for case based reasoning in engineering design

  • Case storing

    • the new cases are examined to determine whether the new case is worth storing as a design case.

    • These are given below

      • case should help solving some distinct problem.

      • Differences shouldn’t be too great as this gives rise to more modifications and repairs whiles solving new problem.

      • Differences should not be too small as it increases the size of the case-based enormously

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Organization of cbr model

Organization of CBR model

  • Case retrieval

    • Selection :

      • selection a set of cases after weeding out all the loosely connected cases that are chosen based on index.

    • Relevance

      • classifying cased based on the degree of similarity between a given situation and the selected cases.

    • Performance

      • classifying cases based on past performance

NTUST Ailab Li-we Pan


A framework for case based reasoning in engineering design

Problem data

Case index

Choosing cases bases based on index

Search conditions

Weed out loosely connected cases

(selection)

Classification based on deviations

(relevance)

Classification based on critic ratings

(performance)

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A framework for case based reasoning in engineering design

  • RN ( Relevance Norm )

  • vi : the value n properties(attributes used in case retrieval)

  • ai : the corresponding properties of the given current situation

  • wi : the relative importance factors

  • The cases are classified as perfect(approximately exact) and close(partial)

NTUST Ailab Li-we Pan


A framework for case based reasoning in engineering design

A

part of

part of

part of

part of

B

C

D

E

part of

part of

a

b

c

F

d

e

f

g

G

h

i

j

k

l

m

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Example of cbr

Example of CBR

  • The sample design artifact A

  • components(B, C, …,G)

  • 13 attributes(a,b,…m)

  • p, q, r, s, and t : governing

  • wp,wq,wr,ws,and wt : weightages

  • p, q : qualitative & r, s, t : quantitative

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A framework for case based reasoning in engineering design

MatchRN Value

perfect0.0-1/3 of RNmax

close1/3-1.0 of RNmax

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A framework for case based reasoning in engineering design

Linguistic ClassCritic Rating

very good75-100

good50-75

average30-50

bad0-30

CaseRelevancePerformance

case1perfectvery good

case2closegood

case3perfectaverage

case4closegood

NTUST Ailab Li-we Pan


A framework for case based reasoning in engineering design

ComponentCases(in the order of preference)

1st2nd3rd4th

Bcase1case4case2case3

Fcase1case4case2case3

Ccase1case4case2case3

Dcase1case4case2case3

Gcase1case2case4case3

Ecase1case2case4case3

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A framework for case based reasoning in engineering design

CBR model

Current Problem Data

Retrieved Cases

Solution

TRANSFORMER

RETRIEVER

Condition causing Failures

Case-Base

ANTICIPATOR

STORER

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A framework for case based reasoning in engineering design

CASE-BASED REASONING TOOL-KIT (CASETOOL)

Organization of DEKBASE

DATA BASE MANAGEMENT SYSTEM (DBMS)

EXP ERT

RULE BASE INFERENCE ENGINE (RBIE)

FRAME MANAGEMENT SYSTEM

(FMS)

USER

ENGINEERING DESIGN SYNTHESIZER (EDS)

GENERIC CRITIQUING TOOL

(GENCRIT)

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