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4.7.3 Multi‐Criteria Decision Analysis: Limitations, Pitfalls, and Practical Difficulties
Author(s) -
Kujawski Edouard
Publication year - 2003
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2003.tb02692.x
Subject(s) - multiple criteria decision analysis , decision analysis , computer science , certainty , set (abstract data type) , management science , risk analysis (engineering) , domain (mathematical analysis) , evidential reasoning approach , operations research , decision support system , data mining , business decision mapping , engineering , mathematics , business , mathematical analysis , statistics , geometry , programming language
The 2002 Winter Olympics women's figure skating competition is used as a case study to illustrate some of the limitations, pitfalls, and practical difficulties of Multi‐Criteria Decision Analysis (MCDA). The paper compares several widely used models for synthesizing the multiple attributes into a single aggregate value. The various MCDA models can provide conflicting rankings of the alternatives for a common set of information even under states of certainty. Analysts involved in MCDA need to deal with the following challenging tasks: (1) selecting an appropriate analysis method, and (2) properly interpreting the results. An additional trap is the availability of software tools that implement specific MCDA models that can beguile the user with quantitative scores. These conclusions are independent of the decision domain and they should help foster better MCDA practices in many fields including systems engineering trade studies.