Questions 1
Dr. Roman Belavkin
BIS4435
Question 1
What is a choice set? Give examples.
Answer: This is a set of several alternatives. A decision must be made
to choose one element from the set. For example, when planning a trip,
a choice set is the set of
Lecture 2:
Uncertainty, Probability and Information
Dr. Roman V Belavkin
Middlesex University
BIS4435
Historical background
Sources of uncertainty
What is probability?
Joint Probability and Independence
Uncertainty and Information
Reducing the Uncertainty
Lecture 1:
Introduction to Decision Making Theory
Dr. Roman V Belavkin
Middlesex University
BIS4435
Choice Problem and Preference Relations
Utility Function
Multicriteria Decision Making
Complexity and Uncertainty
The Structure of Decisions
The Three Phas
Questions 9
Dr. Roman Belavkin
BIS4435
Question 1
Give an example of combinatorial problem. What is the most dicult in
solving these problems?
Answer: One classical example is the Travelling Salesman problem (TSP),
described in the lecture notes. Another
Questions 7
Dr. Roman Belavkin
BIS4435
Question 1
Consider the following production rule:
IF
green
THEN
walk
a) What is the antecedent of this rule?
Answer:
Antecedent is the lefthandside of the rule: IF green.
b) What is the consequent of this rule?
Answ
Questions 8
Dr. Roman Belavkin
BIS4435
Question 1
Answer the following questions:
a) What is a fuzzy set?
Answer: A fuzzy set is a set of elements that have some common
property (such as Hot). What makes the set fuzzy is a fuzzy membership function.
b) Wh
Questions 5
Dr. Roman Belavkin
BIS4435
Question 1
Below is a diagram of a selforganising map:
B
C
D
E
A
B
r
b
&
U o &
r T
0 T b
t
rrt T& & 0
t
t & &
t
rr
t &
t
rr &
& r
&
t
&t
r&
t rr
t
&
&
t
&
t
&
r
1
2
3
By looking at the diagram a
Questions 2
Dr. Roman Belavkin
BIS4435
Question 1
Name and briey describe three main sources of uncertainty.
Answer: Here, we emphasise the following sources of uncertainty: Complexity, ignorance and randomness.
Complexity A system may be so complex that
Questions 4
Dr. Roman Belavkin
BIS4435
Question 1
Below is a diagram if a single articial neuron (unit):
x1
x2
x3 &
w1
~
w2 E
E y = (v)
v
w&
3&
b
&
&
Figure 1: Single unit with three inputs.
The node has three inputs x = (x1 , x2 , x3 ) that receive o
Questions 6
Dr. Roman Belavkin
BIS4435
Question 1
What is the main purpose of Expert Systems?
Answer: The main purpose of ES is to replicate knowledge and skills of
human experts in a particular area, and then to use this knowledge to solve
similar proble
Questions 3
Dr. Roman Belavkin
BIS4435
Question 1
What is a model and its error, and how can they be dened in terms of
information?
Answer: A model is a simplied representation of another object. Because the model contains fewer details and fewer number o
BIS4435
Data Managemement for
Decision Support
Module Handbook
Spring Term
2009/2010
Dr Nawaz Khan
School of Engineering and Information
Sciences
Contents
Contents.2
Module Context.3
Equipment and Software Required.4
Contacting the Module Leader.4
Rationa