The application of correspondence analysis to multiple‐criteria decision making | Zendy

Cheung YanLeung | Zendy

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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.

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