.png){kind=icon}
Return
Competence set expansion using an efficient 0-1 programming model
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ejor.2004.06.032.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Competence set expansion is an application of habitual domain, through which a decision-maker acquires the skills required to make satisfactory decisions. The methods of Li (Operations Research 47, 1999, 209-220) and Li et al. (European Journal of Operational Research 120, 2000, 511-524) use numerous 0-1 and integer variables. This study presents a more compact model for the competence set expansion problem, which is as effective as the two methods yet more efficient. (c) 2004 Elsevier B.V. All rights reserved.
Keywords:
decision analysis
habitual domain
competence set expansion
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6
Papers:
2.2W
Citations:
6.4W
Organization
No organization information available
.png){kind=icon}
