决策支持系统复习题.doc

I. Translation
(omitted)
II．Choice Test.
1．Data warehouse (DW) is a ___________ data set that is integrated, steady and covers a time range, and that supports the procedure of decision-making in business management.
A. subject-oriented B. no subject C. a type of D. stochastic
2．Relational analysis is an import method of mining relational knowledge; If the values of two or more data items repeatedly emerges and the _______ is high, they are relational data items.
A. probability B. frequent C. attached D. similar
3．Artificial neural network (ANN) can be used to learn behavior model, but this model is hard to be depicted and transferred in that its knowledge is hided within the matrix of _______ of ANN.
A. thresholds B. weighs C. rules D. action functions
4．The goal of GA-based classifier is, from the studying samples, getting such a _______ that covers all the premises as for the same classifying results.
A. network B. system C. minimum rule-set D. file
5．The three-part of DSS consists of human-machine system, ____________, and model base system
A.problem-solving system B. database system
C. file system D. knowledge base system
6．In DSS, model stores in mode base, data stores in database, whereas master program runs in .
A. DW B.data marts C. synthesized part D. application
7．The______ refers to the operation of selecting a two-dimension out of multi-dimension.
A. dice B.data set C. data item D. slice
8． is referred to recognize new mode from data set, which is effective, potential, and eventually understandable
A. DM B. KDD C. pattern recoganization D. machine learning
9．DM-based decision support can be classified into relational analysis, sequential mode, _______, classification, deviation-check and forecast.
A.dividing B. sum C. level analysis D. cluster
10．There are two type of , that is, data-driven and model-driven.
A.machine learning B. example learning
C. teaching learning D. discovery learning
11．The three-system structure of DSS includes language system, ________, and knowledge system.
A.learning system B. problem-solving system
C.rule base D. human-machine interactive system
12．For the data sharing and transferring between models, all sharing data should be stored in database, and managed by ________.
A.synthesized system B. database manage system
C.model base management system D. operators
13．The input of real problem generally be indicated in a form of concept, but the input of ANN demands the numeric value ranging from -∞ to +∞, this transformation is called as __ ___.
A.input mode transformation B. pattern recognization
C. concept learning D. input learning
14．In the procedure of GA running, selection, and mutation are three operators.
A.process B. analysis C. computation D. crossover
15．In KDD, the data preprocess includes _______ calculating default data, eliminating repeat records etc.
A. pattern recognization B. hill-climb
C. data mining D. eliminating noise
16． is method that analyzes the all samples and gets the information and knowledge, they reveal the overall law hided in the data.
A.what-if analysis B. statistical analysis C. steady analysis D. feasible analysis
17． is a type of knowledge representation, it highly summarize the samples.
A.decision tree B. state graph C. network D. frame structure
18．Data preparation, ________, and result evaluation are the three parts of KDD.
A.data analysis B. data clearning C. data processing D. data mining
19．According to Simon, decision procedure includes four steps, they are determining goal, planning schemes, evaluating schemes and .
A.executing scheme B.testing scheme
C.analyzing scheme D. revising scheme
20．The hard technology of decision is making decision by use of mathematics, of ________ and of computer.
A.model B. circle C. network D. factor
21．In the uniform structure of DSS, ______ executes the process of real problem and the function of human-machine interacting
A.database part B. synthesized part
C.knwoledge part D. problem-solving part
22．OLAP is a fast process of shared multidimensional information; it has 4 characteristics, that is, _______, analysis, multi dimension, information.
A.numerics B. system C. fast D. view
23．In GA-based classifier, real information are coded, by the _____, into limited messages and then sent to message list.
A.checker B. actor C. test table D. credit arrangment
24．The explanation mechanism of ES can be fulfilled in two methods, one way is showing the reasoning procedure, and the other is showing the ______ of the reasoning result.
A. origin B. result C. example D. right path
25．_______ is the combination of deduction in AI and the relational database.
A.intelligent database B. deductive database
C.decision database D. artifical database
26． is a smaller, centralized data warehouse, which provides a cheaper path for business corporation to analyzing data.
A.Database B.Data set C.Data mart D.Data item
27．ANN utilizes the connecting neurons to learn samples; the neuron has a multi inputs and _____ output
A.multi B. no C. one D. parallel
28．Knowledge base and reasoning mechanism make the core of .
A.DSS B. ANN C. MIS D. ES
29．There are two type of , that is, data-driven and model-driven.
A.machine learning B. example learning
C. teaching learning D. discovery learning
III．Short Answer Test
1． Please discuss the advantage and disadvantage of three-system DSS.
2．Please draft the procedure of GA.
3．What’s the drill in OLAP?
4． Please draft the logical structure of dependent data mart?
5．Please draft the structure of expert system?
6．Please depict the procedure of ID3.
7．Please depict the basic combination of models.
8. Please indicate the rules in GA-based classifier.
9．What is the knowledge discovery in database?
10．Please discuss the function of multi-model forecast
11．Please depict the reasoning process of BP.
12. Please explain the equality of dimension in the OLAP rules
13．Write the three steps of development of model base management system.
IV. Calculation
1． Given a knowledge base, see Figure 1
A∨B∨C→G
I∨J∨K→A
X∧F→J
L→B
M∨E→C
W∧Z→M
P∨Q→E
Figure 1 a knowledge base
Please draft the AND-OR reasoning tree.
2．Please discuss the coding in solving TSP via GA, and give an appropriate fitness function. Here, we suppose the city number is 9.

3．Given a training sample table, see table 1. Please construct a decision tree via ID3 algorithm.
Table 1 training set
No.
Attribute
Type
Attribute A
Attribute B
Attribute C
1
A1
B1
C1
N
2
A1
B1
C2
N
3
A2
B1
C1
N
4
A3
B2
C1
P
5
A2
B2
C2
P
6 logarithmic values used in the calculation list in the following.

4．Given the rule base as the follows
R1: A∨B∨C→G
R2: D∧E→A
R3: F→B
R4: H∨P→C
R5: Q→E
Suppose D, Q, F, and P are Yes, H is No, please solve G.
5．In the evaluation of university, there are four inputs; they are the ratio of the number of teacher to that of student, the area of campus, the average book number of each student, the total number of teaching research product. The output is graded as very good, good, accept, and bad. Please draft the BP structure, and describe the according input mode and output mode.
V．Synthesized Problem
1. Please draft the architecture of GA-based classifier, and describe the construction and meaning of the rules in it.
2. As a senior student in University, you are front of the finding a job, preparing of deep study, struggling for government employee, how to decide? What’s your profit view? There are many unstructured decision, please list them, then describe the solution.
3. Take some unstructured examples in your day-to-day life.