skip to main
|
skip to sidebar
MIS
Wednesday, September 23, 2009
A DSS can include multiple models
sometimes dozens, each of which represents a different part of the decision making problem.
Each model may either be native to the DSS or integrated, interfaced
No comments:
Post a Comment
Newer Post
Older Post
Home
Subscribe to:
Post Comments (Atom)
Labels
Abstract models
(1)
Advanced analytics
(1)
AI
(1)
algorithms
(2)
analytical techniques
(2)
ass 2
(1)
Asynchronous comms
(1)
Automated Decision Making
(1)
BI
(9)
Blind searching
(2)
Business analytics
(7)
Business performance management
(1)
Business Pressures-Responses-Support model
(2)
capabilities
(2)
capacity
(1)
case based reasoning
(1)
Certainty
(2)
Chance Variable
(1)
characteristics
(4)
charge-back
(1)
choice
(3)
cognitive style
(1)
Collaboration support
(4)
collaborative GSS
(5)
communication Support
(1)
constraints
(3)
Continuous distributions
(1)
CRM
(2)
Data Aquisition
(2)
Data mining
(4)
Data Visualization
(1)
Data warehouse
(7)
Decision making
(10)
Decision making process
(16)
decision style
(1)
Decision support
(4)
Decision Support Methodology
(11)
Decision Tables
(2)
Decision Trees
(3)
Decision Variable
(4)
decision variables
(1)
Decisional
(1)
defined
(5)
Descriptive knowledge
(1)
Descriptive Models
(1)
design
(2)
deterministic
(1)
diags
(3)
Different Time
(1)
Dimensionality
(1)
Discrete distributions
(1)
do nothing
(1)
DSS
(19)
DSS characteristics
(1)
DSS components
(2)
DSS Frameworks
(1)
DSS Functions
(1)
DSS model types
(1)
DSS Technologies
(1)
Dynamic modeling
(2)
EMS
(1)
Environmental Scanning and analysis
(1)
ES
(1)
expert systems
(1)
external data
(1)
Find-by-search
(1)
fixed factors
(1)
Forecasting
(2)
Game theory
(1)
GDSS
(1)
Genetic algorithms
(2)
GIS
(1)
Goal programming
(2)
goal seeking
(3)
Granularity
(1)
groupwork
(1)
GSS
(11)
Heuristic programming
(1)
heuristic searching
(2)
Hybrid Systems
(2)
Imitation of reality
(1)
implementation
(2)
influence diagrams
(1)
Informational
(1)
input output coefficients
(1)
integrated
(1)
intelligence
(3)
intelligent agents
(1)
Intermediate Result Variables
(2)
internal data
(2)
Interpersonal
(1)
inventory model
(1)
KMS
(1)
Knowledge based management subsytem
(1)
Knowledge Clasification
(1)
Knowledge Discovery
(1)
Knowledge-Based approach
(1)
KSS
(1)
Learning Objectives
(1)
Lesson 1
(15)
lesson 2
(40)
Lesson 3
(15)
Lesson 5
(8)
Linear programming
(4)
link
(12)
loss
(1)
machine-learning
(1)
Management functions
(3)
Management Science Models
(1)
Managerial Decisions
(1)
Managerial Roles
(2)
Markov
(1)
mathematical
(1)
Mathematical Models
(2)
Mathematical programming
(1)
metadata
(2)
MinMax techniques
(1)
Mintzberg’s 10 Management Roles
(1)
Model management subsytem
(1)
Model-based management systems
(1)
modeling
(30)
Modeling and Analysis
(42)
modelling
(1)
models
(1)
MSS
(4)
Multidimensional Analysis
(1)
multiple criteria approach
(1)
multiple goals
(3)
multiple models
(1)
multiple-equation model
(1)
network models
(1)
neural mining
(1)
Neural networks
(1)
Non-Volatile
(1)
Object models
(1)
Object Oriented Simulation
(1)
objective function
(1)
objective function coefficients
(1)
Objective Variable
(1)
OLAP
(2)
operational data
(1)
Operational Decisions
(2)
Operations research approach
(1)
Optimistic approach
(1)
Optimum outcome
(1)
outcome variables
(1)
page
(43)
parameters
(1)
Pessimistic approach
(1)
Physical models
(1)
Point allocation systems
(2)
pre-existing biases and preferences
(1)
Predictive Analysis
(1)
Predictive models
(1)
private data
(1)
Probabilistic decision-making
(3)
probalistic simulation
(1)
problem solving
(3)
problems
(2)
Procedural Knowledge
(1)
Process models
(1)
qualitative models
(1)
qualitive
(1)
Quantitative models
(1)
quantitive
(1)
Random Variable (risk)
(1)
reality
(1)
ref
(1)
Regression analysis
(2)
Reliablility
(1)
Reports and queries
(1)
result variables
(2)
risk
(4)
Risk analysis
(1)
ROI
(1)
same time
(1)
Satisfactory outcome
(1)
satisficing
(1)
satisfycing
(1)
SCM
(1)
search methods
(1)
search steps
(1)
Semi structured problems
(1)
Semistructured Decision
(1)
Sensitivity analysis
(2)
Simon
(5)
simulation types
(1)
Simulations
(3)
simultaneous goals
(1)
single-equation model
(1)
spreadsheets
(2)
Static modeling
(2)
statistical
(1)
statistical methods
(1)
Stochastic
(1)
strategic data
(1)
Strategic Decisions
(2)
Structured Decision
(1)
subject oriented
(1)
subset
(1)
Synchronous comms
(1)
Tabu search
(1)
tabular
(1)
tactical decisions
(1)
text mining
(1)
Time Dependant
(1)
Time Independant Simulation
(1)
Time span
(1)
Time variant
(1)
TOC
(1)
Tools and Techniques
(1)
Transaction processing
(1)
trial and error
(1)
tut
(2)
Uncertainty
(3)
uncontrollable variables
(3)
Unstructured Decision
(1)
User interface subsytem
(1)
Utility theory
(2)
variable identification
(1)
Virtual file
(1)
Virtual relationship
(1)
visualisation
(1)
what-if
(6)
WWW
(1)
Followers
Blog Archive
▼
2009
(133)
►
October
(25)
▼
September
(108)
Simulation types page 167
Simulation page 165
Problem solving search methods page 162
Goal Seeking page 161
What-if analysis page 160
Sensitivity analysis page 159
Methods of handling multiple goals page 159
Multiple goals page 158
Linear Programming pge 154
The components of DSS Mathematical problems page 151
Decision Trees page 149
Treating Risk
Treating uncertainty page 149
Decision making under risk page 144
Decision making under uncertainty
Decision making under certainty
Knowledge Clasification Page 143
qualitative models
Quantitative models
A DSS can include multiple models
Forecasting / Predictive Analysis
Variable Identification
Environmental Scanning and analysis page 138
Data Collection, Problems, and Quality
Data Aquisition: The nature and sources of data
self assessment: Data Warehouse
On-Line Analytical Processing
Multidimensional Analysis
Twelve Rules That Define a Data Warehouse
Characteristics of the Data Warehouse
Strategic (DSS) Data and Operational Data
Decision Support Systems - Main Components :: pag...
Data Visualization
Knowledge Discovery in Databases
Tools and Techniques
Data Mining
OLAP - Online analytical processing
Business Analytics
tut
Model-based management systems
Simulations page 165
Find-by-search approaches
Sensitivity, what-if, and goal seeking analyses pa...
Satisfaction of multiple goals page 150
Mathematical programming page 153
Mathematical models
Modeling with decision trees
Modeling with decision tables
Modeling with spreadsheets page 145
Modeling with influence diagrams
Probabilistic decision-making
Reliablility
Decision-making
Dynamic modeling
Static modeling page 142
Categories of models pg 140
DSS model types
Modeling and Analysis
Decision Support Methodology
Major purpose of models
Human Influence on modeling
Modeling is a major tool of the Choice Phase
Modeling as a process
Why use models?
Types of Models
What is Modeling? What is a model?
Choosing to do nothing!
The Knowledge-Based approach to decision-making
Decision-making
Decision-Making versus Problem Solving?
Simon’s (4) Implementation Phase
Simon’s (3) Choice Phase
Simon’s (2) Design Phase
Simon’s (1) Intelligence Phase
Herbert Simon’s model
Decision-making as an organised & structured process:
What type of support is needed:
How support is provided
What is decision support?
Decision-making
What are decisions?
Automated Decision Making (ADS) pg 17
Operations research approach (OR) / Management Sci...
Simon's decision making process pg 15
Operational Decisions, Managerial Decisions, Strat...
What are the three categories of managerial roles?
Why is DSS hard to define? Umbrella term page 21
Hybrid Systems
Impacts of the World Wide Web on DSS technologies....
Summary of DSS Functions
Technologies for Decision-Making Processes
Factors affecting Decision-Making
Decision Support Frameworks
How did DSS originate?
Decision Support Systems (DSS)
Why do Management Roles need Decision Support?
Management Support Systems
Managerial Roles & Mintzberg’s 10 Management Roles
Management functions
Business environment factors that create pressure ...
About Me
Rach
View my complete profile
No comments:
Post a Comment