Name
Abstract | ||
|---|---|---|
A common decision problem faced by managers in organizations is that of decision alternative prioritization. There have been many proposed approaches to the problem where the decision maker constructs a pairwise comparison matrix of the alternatives under study. All existing ranking methods possess major shortcomings for the general problem. This paper illustrates the usefulness of a neural network model in such prioritization problems, which considers these shortcomings of previous methods. Use of the model is shown through the use of example ranking scenarios. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1016/0167-9236(94)90017-5 | Decision Support Systems |
Keywords | Field | DocType |
NEURAL NETWORKS, RANKING, PRIORITIZATION, DECISION MAKING | Data mining,Decision problem,Ranking,Computer science,Simple prioritization,Prioritization,Artificial intelligence,Artificial neural network,Machine learning,Pairwise comparison matrix,Decision maker | Journal |
Volume | Issue | ISSN |
11 | 5 | 0167-9236 |
Citations | PageRank | References |
9 | 2.45 | 3 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rick L. Wilson | 1 | 442 | 54.67 |