Premium
The application of correspondence analysis to multiple‐criteria decision making
Author(s) -
Cheung YanLeung
Publication year - 1992
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/mcda.4020010305
Subject(s) - categorical variable , decision maker , representation (politics) , computer science , decision analysis , correspondence analysis , data mining , multiple correspondence analysis , artificial intelligence , machine learning , operations research , mathematics , statistics , politics , political science , law
The aim of this paper is to show how correspondence analysis can be a useful aid in multiple‐criteria decision making, particularly in the case of categorical criteria values. Under different types of input information, the technique is used to perform some preliminary analyses with a bonus of providing a simultaneous graphical representation of the alternatives and criteria. This picture can provide a better understanding of the structure of the two sets of variables to the decision maker before a decision is made.