Abstract
Graphs are a great aid in interpreting multidimensional data. Two examples are employed to illustrate this point. In the first the many dissimilarities generated in the Analytic Network Process (ANP) are anal ysed using Individual Differences Scaling (INDSCAL). This is the first time such a procedure has been used in this context. In the second the single set of dissimilarities that arise from the Analytic Hierarchy Process (AHP) are analysed using Multidimensional Scaling (MDS). The novel approach adopted here replaces a complex iterative procedure with a systematic ap proach that may be readily automated.
Highlights
It is often said that a picture is worth a thousand words
The Analytic Hierarchy Process (AHP) is a method for formalizing decision making where there are a limited number of choices but each has a number of attributes and it my be difficult to formalize some of those attributes
In the AHP procedure the decision maker is required to make pair wise comparisons between n alternatives based on a ratio scale, the choices are made from the integers between 1 and 9 and their reciprocals (I = {1/9, 1/8, 1/7, 1/5, 1/4, 1/3, 1/2, 1, 2, 3, 4, 5, 6, 7, 8, 9})
Summary
It is often said that a picture is worth a thousand words. It is always useful to have diagrams to enhance the interpretation of analytic techniques. In recent years many papers have been written examining the Analytic Hierarchy Process (AHP, Saaty, 2001, for example) as an aid to decision making. This has been extended to the Analytic Network Process (ANP, Saaty, 1996). The first example benefits from the application of the INDSCAL procedure, while for the second a direct procedure is developed which avoids the iterative scheme previously utilised For those not familiar with the numerical procedures employed here: Analytic Hierarchy Process, Analytic Network Process, Individual Differences Scaling, Non-metric Multidimensional Scaling and Procrustes Analysis. These are briefly reviewed; the topics are presented in alphabetic order
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
