MCE: Eigen Values Calculations from Pair Wise Comparisons. Addition to Exercise 2-8.

Slides:



Advertisements
Similar presentations
Modellistica e Gestione dei Sistemi Ambientali A tool for multicriteria analysis: The Analytic Hierarchy Process Chiara Mocenni University of.
Advertisements

Markov chains. Probability distributions Exercise 1.Use the Matlab function nchoosek(n,k) to implement a generic function BinomialPMF(k,n,p) for calculating.
DECISION MODELING WITH Multi-Objective Decision Making
Analytical Hierarchy Process (AHP) - by Saaty
Analytic Hierarchy Process Multiple-criteria decision-making Real world decision problems –multiple, diverse criteria –qualitative as well as quantitative.
Analytic Hierarchy Process Multiple-criteria decision-making Real world decision problems –multiple, diverse criteria –qualitative as well as quantitative.
MIS 463 Analytic Hierarchy Process. 2 The Analytic Hierarchy Process (AHP) It is popular and widely used method for multi-criteria decision making. Allows.
Introduction to Management Science
PART 12 Fuzzy Decision Making 1. Individual decision making 2. Multiperson decision making 3. Multicriteria decision making 4. Multistage decision making.
Copyright © 2006 Pearson Education Canada Inc Course Arrangement !!! Nov. 22,Tuesday Last Class Nov. 23,WednesdayQuiz 5 Nov. 25, FridayTutorial 5.
I’M THINKING ABOUT BUYING A CAR BUT WHICH ONE DO I CHOOSE? WHICH ONE IS BEST FOR ME??
1 The Analytic Hierarchy Process. 2 Overview of the AHP 1.Set up decision hierarchy 2.Make pairwise comparisons of attributes and alternatives 3.Transform.
Introduction Given a Matrix of distances D, (which contains zeros in the main diagonal and is squared and symmetric), find variables which could be able,
Introduction to Management Science
化工應用數學 授課教師: 郭修伯 Lecture 9 Matrices
Arithmetic Operations on Matrices. 1. Definition of Matrix 2. Column, Row and Square Matrix 3. Addition and Subtraction of Matrices 4. Multiplying Row.
9-1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Multicriteria Decision Making Chapter 9.
Multicriteria Decision Making
9-1 Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Multicriteria Decision Making Chapter 9.
Presented by Johanna Lind and Anna Schurba Facility Location Planning using the Analytic Hierarchy Process Specialisation Seminar „Facility Location Planning“
PHY 301: MATH AND NUM TECH Chapter 5: Linear Algebra Applications I.Homogeneous Linear Equations II.Non-homogeneous equation III.Eigen value problem.
1 1 Slide © 2004 Thomson/South-Western Chapter 17 Multicriteria Decisions n Goal Programming n Goal Programming: Formulation and Graphical Solution and.
Spreadsheet Modeling and Decision Analysis, 3e, by Cliff Ragsdale. © 2001 South-Western/Thomson Learning Multicriteria Decision Making u Decision.
Recap: How the Process Works (1) Determine the weights. The weights can be absolute or relative. Weights encompass two parts -- the quantitative weight.
Chapter 9 - Multicriteria Decision Making 1 Chapter 9 Multicriteria Decision Making Introduction to Management Science 8th Edition by Bernard W. Taylor.
Multivariate Statistics Matrix Algebra I W. M. van der Veld University of Amsterdam.
MAINTENANCE STRATEGY SELECTION BASED ON HYBRID AHP-GP MODEL SUZANA SAVIĆ GORAN JANAĆKOVIĆ MIOMIR STANKOVIĆ University of Niš, Faculty of Occupational Safety.
5 5.2 © 2012 Pearson Education, Inc. Eigenvalues and Eigenvectors THE CHARACTERISTIC EQUATION.
Agenda for This Week Wednesday, April 27 AHP Friday, April 29 AHP Monday, May 2 Exam 2.
Analytic Hierarchy Process. 2 The Analytic Hierarchy Process (AHP) Founded by Saaty in It is a popular and widely used method for multi-criteria.
Multi-Criteria Analysis - preference weighting. Defining weights for criteria Purpose: to express the importance of each criterion relative to other criteria.
To accompany Quantitative Analysis for Management, 9e \by Render/Stair/Hanna M1-1 © 2006 by Prentice Hall, Inc. Upper Saddle River, NJ Analytic Hierarchy.
Analytic Hierarchy Process (AHP)
Prepared by Deluar Jahan Moloy Lecturer Northern University Bangladesh
Elementary Linear Algebra Anton & Rorres, 9 th Edition Lecture Set – 07 Chapter 7: Eigenvalues, Eigenvectors.
4.5 Inverse of a Square Matrix
1 CHEM-E7130 Process Modeling Exercise Matrices. 2 Matrices in case math basic course learnings have been lost... Matrices are ”table of numbers” with.
Copyright © Cengage Learning. All rights reserved. 2 SYSTEMS OF LINEAR EQUATIONS AND MATRICES.
Applied Mathematics 1 Applications of the Multi-Weighted Scoring Model and the Analytical Hierarchy Process for the Appraisal and Evaluation of Suppliers.
Constructing the PAHP-based Decision Support System by Considering the Ambiguity in Decision Making Norihiro Saikawa Department of Computer and Information.
To Accompany Russell and Taylor, Operations Management, 4th Edition,  2003 Prentice-Hall, Inc. All rights reserved. Supplement S7 Supplier Selection.
Notes Over 4.2 Finding the Product of Two Matrices Find the product. If it is not defined, state the reason. To multiply matrices, the number of columns.
ESTIMATING WEIGHT Course: Special Topics in Remote Sensing & GIS Mirza Muhammad Waqar Contact: EXT:2257 RG712.
Why do we use Excel? What is it? Row Cell Column.
This Briefing is: UNCLASSIFIED Aha! Analytics 2278 Baldwin Drive Phone: (937) , FAX: (866) An Overview of the Analytic Hierarchy Process.
Analytic Hierarchy Process Multiple-criteria decision-making Real world decision problems –multiple, diverse criteria –qualitative as well as quantitative.
Characteristic Polynomial Hung-yi Lee. Outline Last lecture: Given eigenvalues, we know how to find eigenvectors or eigenspaces Check eigenvalues This.
MTH108 Business Math I Lecture 20.
13.4 Product of Two Matrices
Lesson 43: Working with Matrices: Multiplication
12-1 Organizing Data Using Matrices
Matrices Rules & Operations.
Supplement S7 Supplier Selection.
Analytic Hierarchy Process (AHP)
DETERMINANTS A determinant is a number associated to a square matrix. Determinants are possible only for square matrices.
A Scoring Model for Job Selection
ANALYTIC HIERARCHY PROCESS (AHP)
Matrix Operations SpringSemester 2017.
Section 7.4 Matrix Algebra.
Euclidean Inner Product on Rn
WarmUp 2-3 on your calculator or on paper..
Analytic Hierarchy Process Prepared by Lee Revere and John Large
Analytic Hierarchy Process (AHP)
Further Matrix Algebra
Eigenvalues and Eigenvectors
Numerical Analysis Lecture 17.
Agenda for This Week Monday, April 25 AHP Wednesday, April 27
Diagonalization of Linear Operator
Multicriteria Decision Making
Matrix Operations SpringSemester 2017.
Presentation transcript:

MCE: Eigen Values Calculations from Pair Wise Comparisons. Addition to Exercise 2-8

Pair Wise Comparison. The analytic hierarchy process (AHP) is a multi-criteria decision making method that employs a procedure of multiple comparisons to rank order alternative solutions to a multi-objective decision problem.

Given Pairwise comparison..

Calculate EigenVector by Edrisi.

The Calculation of eigenvector from the pairwise comparison values requires a lot of work in terms of matrix algebra. The method presented here is an approximation that suits to a good degree of accuracy in terms of eigenvalues.

Step-1 LandfuzzTownfuzzWaterfuzzRoadfuzzSlopefuzzdevelopfuzz Landfuzz Townfuzz Waterfuzz Roadfuzz Slopefuzz developfuzz

Step-2 Complete the upper diagonal values of the pair wise matrix. If ‘A’ is 5 time of ‘B’ means ‘B’ is 1/5 times of ‘A’. In the next diagram shaded values shows these values.

LandfuzzTownfuzzWaterfuzzRoadfuzzSlopefuzzdevelopfuzz Landfuzz Townfuzz Waterfuzz Roadfuzz Slopefuzz developfuzz

Step-4 Calculate the sum of each column. LandfuzzTownfuzzWaterfuzzRoadfuzzSlopefuzzdevelopfuzz Landfuzz Townfuzz Waterfuzz Roadfuzz Slopefuzz developfuzz

Step-5 Divide the values in each cell by its column’s sum. Eg: Col-1: 1/16, 3/16 ….. Col-2: 0.333/15.33, 1/ etc … LandfuzzTownfuzzWaterfuzzRoadfuzzSlopefuzzdevelopfuzz Landfuzz Townfuzz Waterfuzz Roadfuzz Slopefuzz developfuzz

Step-6 Landfuz zTownfuzzWaterfuzzRoadfuzzSlopefuzzdevelopfuzz Landfuzz Townfuzz Waterfuzz Roadfuzz Slopefuzz developfuzz Sum the weights in each row. (R1, R2, R3 …) Add the results … Sum = (R1 + R2 + R3 + R4 + R5 + R6).

Step Get the ratio of each of the individual row’s sum to the resulting sum. Eg /6 = etc.. The Weights we get are the approximated weights as in the values obtained through Idrisi.

References: The method for conversion taken from the lecture notes: mat.gsia.cmu.edu/classes/mstc/multiple/node4.html For the exact values calculation refer to the attached paper The Analysis of the Principal Eigenvector of Pairwise Comparison Matrices; András Farkas Excel file with the auto-calculation is also attached. A very good software for auto conversion from pairwise values is; u.ac.jp/~thc0456/EAHP/EAHP_manu.html u.ac.jp/~thc0456/EAHP/EAHP_manu.html