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Pertemuan 13Membangun Expert System

Matakuliah : H0383/Sistem Berbasis PengetahuanTahun : 2005Versi : 1/0

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Learning Outcomes

Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu :• Merangkaikan tahapan-tahapan dalam

membangun expert systems

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Outline Material

• Fasa/Tahapan membangun expert systems

• Beberapa syarat/pertimbangan untuk membangun expert systems yang baik

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Phase I: Project Initialization• Problem definition• Needs assessment• Evaluation of alternative solutions• (availability of experts, education and training,

packaged knowledge, conventional software) • Verification of an expert systems approach

(requirements, justification, appropriateness):• Consideration of managerial issues (project initiator,

financing, resources,legal and other constrains, selling the project, identifying a champion)

• Approval of the project in principle

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12 Requirements to ES

1. Task does not require common sense.2. Task requires only cognitive, not physical

skills.3. At least one genuine expert exists.4. Experts can articulate their methods to

solve problems.5. Experts agree on the knowledge and the

solution approach to the problem.6. Task is not too so difficult.

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12 Requirements to ES

7. Well understood and defined clearly.8. Task definition fairly stable.9. Conventional (algorithmic) computer

solution technique are not satisfactory.10. Incorrect or non optimal result can be

tolerated.11.Data and test cases are available.12.The task’s vocabulary has no more than

a couple of hundred concept.

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8 Justification to ES Development

1. Solution to the problem has a high payoff.2. ES preserve human expertise not to change.3. Expertise is needed in many location.4. In hostile and hazardous environments.5. Expertise improve performance and quality.6. System can be used for training.7. ES solution can be derived faster than human.8. ES is more consistent and accurate than a

human.

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Appropriateness of the ES:

• Nature of the problem: problem have symbolic structure and solution is heuristic. The task is decomposable.

• Complexity: neither too easy nor too difficult for human expert

• Scope of problem : manageable size and should have some practical value.

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Phase II: System Analysis and Design

• Conceptual design and plan• Development strategy• Source of knowledge • Selection Computing resources• Feasibility study:

– Economic: cost of system development, maintenance, cash flow and risk analysis

– Technical: interface requirement, networking issues, availability of knowledge and data, knowledge representation scheme.

– Operational: availability of human and other source. Needs assessment.management and user support.

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Phase II: System Analysis and Design

• Cost benefit analysis• Ending milestone: approved complete

project plan

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Phase III: Rapid Prototyping

• Building a small prototype• Testing, Improving, Expanding• Demonstrating and analyzing feasibility• Completing Design

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Phase IV: System Development

• Building Knowledge Base• Testing, Evaluating, and improving

Knowledge base• Planning for Integration

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Phase V: Implementation

• Acceptance by Users• Installation, Demonstration, Deployment• Orientation, Training• Security• Documentation• Integration• Field Testing

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Phase VI: Post Implementation

• Operation• Maintenance and upgrades• Periodic evaluation

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Penutup

• The ES should be developed to fulfill a recognized and important need.

• The processing speed of the system should be very high.

• The ES should be able to increase the expertise of the user

• Error correction should be easy to perform• The program should be able to respond to

simple question

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Penutup

• The system should be capable of asking question to gain additional information.

• Program knowledge should be easy modified.(add, delete , modify rules)

• The user should fell that they are in control• Input requirement should be clear and

simple to obtain.