|
Archive@NYU >
Stern School of Business >
IOMS: Information Systems Working Papers >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14405
|
| Title: | SOLVING MULTI-CRITERIA ALLOCATION PROBLEMS: A DECISION SUPPORT SYSTEM APPROACH |
| Authors: | Weitz, Rob R.
Jelassi, M. Tawfik |
| Keywords: | Multiple Criteria Decision Making
Decision Support Systems
Personnel Assignment Problems
Systems Analysis and Design
Computer Implementation |
| Issue Date: | Mar-1990 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-90-05 |
| Abstract: | MCADSS is a multi-criteria allocation decision support system for
assisting in the task of partitioning a set of individuals into groups.
Based upon multiple criteria, MCADSSâs goal is to maximize the
diversity of members within groups, while minimizing the average
differences between groups. (The project may be viewed from several
perspectives: as a multi-criteria decision making problem, as a
"reverse" clustering problem, or as a personnel assignment
problem). The system is currently being used to allocate MBA students
into sections and study teams at INSEAD, a leading European business
school. This paper describes the rationale for MCADSS, design criteria,
system methodology, and application results. It also suggests how the
approach outlined here might be used for further applications. |
| URI: | http://hdl.handle.net/2451/14405 |
| Appears in Collections: | IOMS: Information Systems Working Papers
|
All items in Faculty Digital Archive are protected by copyright, with all rights reserved.
|
