A natural language discourse model to explain linear programming models and solutions |
| |
| Authors: | Harvey J. Greenberg |
| |
| Affiliation: | 1. Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA, 90095-1592, USA;2. Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095-1592, USA;1. McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX 78712, United States;2. Smart Operations–Praxair Digital, Praxair, Inc., Tonawanda, NY 14150, United States |
| |
| Abstract: | This paper presents a natural language (i.e., English) discourse model to explain a linear programming model and, possibly, its computed solution (which need not be optimal). Drawing from earlier syntactic translations, a semantic model is presented, based on economic input-output relations commonly found in large-scale linear programs. These are then shown how to form rule-driven explanations, which comprises a fundamental component of an intelligent mathematical programming system. |
| |
| Keywords: | Linear Programming Discourse Models Natural Language Processing Mathematical Modeling Artificial Intelligence Model Management Computer-assisted Analysis |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
