A Decision Support Methodology To
Rank Projects Considering Risks And
Multicriteria Analysis
Author(s)
S. F. C. Pinho & N. F. F. Ebecken
Abstract
This paper presents a methodology that acts as an instrument to support the
decision process of Information Technology (IT) projects prioritization. Data
Mining, Multicriteria to Decision Analysis (MDA), Experts Tacit Knowledge
Acquisition (KA) and Risk Analysis techniques were used, conjugating thus the
knowledge extracted from historical data (database of executed projects),
business experts’ knowledge and Risk Analysis in accordance with the best
practices of Project Management International (PMI).
Hence, starting from a set of candidates, a ranked list of projects is
established in a systematic way, stressing the intensity that a project is more
qualified then the others. The methodology indicates the aspects that are
considered essential for the decision making process, even for the projects which
do not have their execution recommended. A case study is presented and some
conclusions were commented.
Keywords: projects ranking, information technology, data mining, multicriteria
decision analysis, risk analysis.
Keywords
projects ranking, information technology, data mining, multicriteria
decision analysis, risk analysis.
Related Book
Other papers in this volume
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