Name
Abstract | ||
|---|---|---|
The allocation of scarce business resources is becoming a major problem for management nowadays. Limited by lack of resources, management needs to make project selection decisions under the constraints of available information, and often makes decisions based on incomplete information. Traditionally, quantitative techniques dominate decision-making in selecting management information systems (MIS) projects. However, encapsulating or simply discarding the qualitative concerns makes a project economically sound but not operationally sound. This is often the reason that causes a project to fail. This paper establishes a model by incorporating fuzzy logic as a decision tool, which smoothly aids decision makers dealing with uncertain or incomplete information without losing existing quantitative information |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/3468.725355 | IEEE Transactions on Systems, Man, and Cybernetics, Part A |
Keywords | Field | DocType |
fuzzy logic,information system project selection,project selection decision,management information system,operationally sound,incomplete information,available information,decision tool,existing quantitative information,quantitative technique,decision maker,decision theory,indexing terms,environmental economics,resource management,information systems,project management,information system,resource manager,environmental management,management information systems | Information system,Management information systems,Computer science,Risk analysis (engineering),Project management triangle,Artificial intelligence,Decision theory,Complete information,Management science,Project management,Resource management,Fuzzy logic,Machine learning | Journal |
Volume | Issue | ISSN |
28 | 6 | 1083-4427 |
Citations | PageRank | References |
11 | 0.80 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuanchin Chen | 1 | 265 | 17.22 |
| N. Gorla | 2 | 24 | 2.25 |