Kardi Teknomo
Kardi Teknomo Kardi Teknomo Kardi Teknomo

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
Complex Number
Continued Fraction
Data Analysis from Questionnaire
Data Revival from Statistics
Decimal to Rational
Decision tree
Difference equations
Digital Root
Discriminant analysis
Eigen Value using Excel
Euclidean Distance
Euler Integration
Euler Number
Excel Iteration
Excel Macro
Excel Tutorial
Expectation Maximization (EM) Algorithm
Factorial Function
Feasibility Study
Financial Analysis
Financial Education
Gaussian Mixture Model
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
Maximum Likelihood
Multicriteria decision making
Mutivariate Distance
Neural Network
Newton Raphson
Non-Linear Transformation
Normalization Index
Normalized Rank
Ordinary Differential Equation
Page Rank
Power rules
Prime Factor
Prime Number
Q Learning
Quadratic Function
Queueing Theory
Rank Reversal
Recursive Statistics
Regression Model
Reinforcement Learning
Root of Polynomial
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
Vedic Square
Visual Basic (VB) tutorial
What If Analysis


Analytic Hierarchy Process

By Kardi Teknomo, PhD.


<Contents | Previous | Next >

Read this tutorial comfortably off-line, click here to purchase the e-book of this AHP tutorial.

Analytic Hierarchy Process (AHP) is one of Multi Criteria decision making method that was originally developed by Prof. Thomas L. Saaty. In short, it is a method to derive ratio scales from paired comparisons. The input can be obtained from actual measurement such as price, weight etc., or from subjective opinion such as satisfaction feelings and preference. AHP allow some small inconsistency in judgment because human is not always consistent. The ratio scales are derived from the principal Eigen vectors and the consistency index is derived from the principal Eigen value.

Don't worry if you don't understand yet about all of those terminologies above because the purpose of this tutorial is to explain that in a very simple way. You just need to read on and at the end you will understand. I also provide MS Excel file (yes you can do AHP with spreadsheet) as companion of this tutorial. Click the topics below is you want to jump to some topics, or else just click here to continue the tutorial.

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?)

These tutorial is copyrighted.

Click here to purchase the PDF copy of this AHP tutorial

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

Preferable reference for this tutorial is

Teknomo, Kardi. (2006) Analytic Hierarchy Process (AHP) Tutorial .


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