Kardi Teknomo
Kardi Teknomo Kardi Teknomo Kardi Teknomo
   
 
  Research
  Publications
  Tutorials
  Resume
  Resources
  Contact

Visit Tutorials below:
Adaptive Learning from Histogram
Adjacency matrix
Analytic Hierarchy Process (AHP)
ArcGIS tutorial
Arithmetic Mean
Bayes Theorem
Bootstrap Sampling
Bray Curtis Distance
Break Even Point
Chebyshev Distance
City Block Distance
Conditional Probability
Continued Fraction
Data Analysis from Questionnaire
Data Revival from Statistics
Decimal to Rational
Decision tree
Difference equations
Digital Root
Discriminant analysis
Divisibility
Eigen Value using Excel
Euclidean Distance
Euler Integration
Euler Number
Excel Iteration
Excel Macro
Excel Tutorial
Feasibility Study
Financial Analysis
Generalized Inverse
Generalized Mean
Geometric Mean
Ginger Bread Man and Chaos
Graph Theory
Growth Model
Hamming Distance
Harmonic Mean
Hierarchical Clustering
Independent Events
Incident matrix
Jaccard Coefficient
Kernel basis function
Kernel Regression
k-Means clustering
K Nearest Neighbor
LAN Connections Switch
Learning from data
Lehmer Mean
Linear Algebra
Logarithm Rules
Mahalanobis Distance
Market Basket Analysis
Mean Absolute Deviation
Mean and Average
Mean, median, mode
Minkowski Distance
Minkowski Mean
Monte Carlo Simulation
Multi Agent System
Multicriteria decision making
Mutivariate Distance
Newton Raphson
Non-Linear Transformation
Normalization Index
Normalized Rank
Ordinary Differential Equation
Page Rank
Palindrome
PI
Power rules
Prime Factor
Prime Number
Q Learning
Quadratic Function
Queueing Theory
Rank Reversal
Recursive Statistics
Regression Model
Reinforcement Learning
Root of Polynomial
Runge-Kutta
Scenario Analysis
Sierpinski gasket
Sieve of Erastosthenes
Similarity and Distance
Solving System Equation
Standard deviation
String Distance
Summation Tricks
Support Vector Machines
System dynamic
Time Average
Tower of Hanoi
Variance
Vedic Square
Visual Basic (VB) tutorial
What If Analysis

 

Analytic Hierarchy Process (AHP) Tutorial

By Kardi Teknomo, PhD.

AHP

Share this: Google+

This tutorial will introduce you to the several methods on multi criteria decision making (MCDM). One famous method of MCDM is called Analytic Hierarchy Process or AHP in short. The AHP procedure had been applied for Decision Support System (DSS), including data mining and machine learning and so many applications. You can download the MS Excel file as companion of this tutorial. Click the topics below is you want to jump to some topics, or else just click here to start the tutorial. Click here to purchase the e-book copy of this AHP tutorial

Multi Criteria Decision Making

Cross Tabulation
Evaluation based on Rank
Weighted Criteria

Analytic Hierarchy Process (What is AHP)
Pair-wise Comparison (What is pair-wise comparison?)
Making Comparison Matrix (How to make reciprocal matrix?)
Priority Vectors (How to compute Eigen Value and Eigen vector?)
Consistency Index and Consistency Ratio (What is the meaning of consistent?)
Illustrative example (how to compute in a full hierarchy?)

Resources on Analytic Hierarchy Process

Rate & Comment this tutorial

Do you have question regarding this AHP tutorial? Ask your question here

Share and save this tutorial
Add to: Del.icio.us  Add to: Digg  Add to: StumbleUpon   Add to: Reddit   Add to: Slashdot   Add to: Technorati   Add to: Netscape   Add to: Newsvine   Add to: Mr. Wong Add to: Webnews Add to: Folkd Add to: Yigg Add to: Linkarena Add to: Simpy Add to: Furl Add to: Yahoo Add to: Google Add to: Blinklist Add to: Blogmarks Add to: Diigo Add to: Blinkbits Add to: Ma.Gnolia Information

These tutorial is copyrighted.

Preferable reference for this tutorial is

Teknomo, Kardi. (2006) Analytic Hierarchy Process (AHP) Tutorial .
http://people.revoledu.com/kardi/tutorial/AHP/


 

 
© 2007 Kardi Teknomo. All Rights Reserved.
Designed by CNV Media