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in knowledge-based system. But for procedural
knowledge representation, such as the evaluation
process, it is difficult to achieve by traditional
methods, so it needs reasonable analysis and design.
3.2 Knowledge Engineering
Knowledge engineering design is based on expert
system, which is responsible for collection,
development of knowledge, access to external
information, process it by knowledge rules, store
information the form of database records to support
calling, comparing and choosing in the decision-
making process. In addition, an important function
of knowledge engineering is to interact with
knowledge workers, access to professional and
authoritative knowledge as the first reference of the
system operation control. The process is as shown in
Figure 4:
Figure 4: Schematic diagram of the knowledge
engineering process.
Ordinary users or knowledge workers and
external information are the three main sources for
knowledge engineering sources to obtain
information. Information got through these three
sources will experience knowledge extraction,
transformation and loading operations, access to
knowledge and analysis platform for analysis and
processing, filter out redundant information, and
store in knowledge base according to certain rules to
for the call.
In addition to knowledge library, the model
library can provide information about the limitations
and operating parameters on computing model. The
database can access a lot of knowledge through data
mining, data integration and other technology.
Conclusion is another important function of
knowledge engineering. It is responsible for
assessing outputs from different types of analysis
(including providing specific decision services based
on the track and analyse of user
behaviour) .Especially for the causal task; it will
screen out false or inconsistent results based on a
standard, and generates simple and profound
explanation of the model environment the user can
understand. In the process, it will use the generation
model and knowledge base, model base interaction,
deductive knowledge, analogical reasoning and
other techniques.
3.3 Dominance of Process and Other
Hidden Information
The knowledge management system is mainly
responsible for dominance of knowledge. It will
make the empirical and rational knowledge got from
a variety of information sources be structured and
formal processed, then dump them respectively, in a
particular machine readable format to knowledge
base, model base and database. Knowledge
management systems manage many knowledge
objects including data; text flow, validating model,
metadata, process, processing algorithms and the
corresponding operating software.to complete the
unified function.
Process is an important component of tacit
knowledge. A complete process mainly includes
model, index data, evaluation criteria and
operational control these four types of information.
Each model calls indicators and data in turn in
accordance with control information for processing
operations. Results operations carried out will be
determined by the evaluation criteria until the
satisfactory results are got. According to the results
of different judgments, the model will be called by
multiple times, and the model organization called in
accordance with the form of a chain is known as the
model chain. The model chain is shown as below.
Figure 5: Model chain of the process.
A model chain reflects a process, in control of all
kinds of information in the model chain running:
such as the evaluation value index which is stored in
the database as a record, then can save knowledge of
the process.
Process control controls the running process
according to a variety pre-qualification before the
model chain run , and provides the operation
interaction (including the analysis and tracking of
• Indicators
•Data
•Rules
• Operation contr
ol
Model1
• Indicator
•Data
•Rules
• Operation contr
ol
Model2
•Ect.
Ect.
• Indicator
•Data
•Rules
• Operation contr
ol
Modeln
RESEARCH PROCESS ORIENTED INTELLIGENT DECISION SUPPORT SYSTEM FRAMEWORK
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