Feasibility Analysis for Fuzzy/Crisp Linear Programming Problems
| Autor: | Cesar Amilcar López-Bello, Germán Jairo Hernández-Pérez, Juan Carlos Figueroa-García |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Linear programming Computer science Bounded function 0211 other engineering and technologies 0202 electrical engineering electronic engineering information engineering Fuzzy set operations Fuzzy number 020201 artificial intelligence & image processing 021107 urban & regional planning 02 engineering and technology Special case Fuzzy logic |
| Zdroj: | Intelligent Computing Methodologies ISBN: 9783319422961 ICIC (3) |
| DOI: | 10.1007/978-3-319-42297-8_76 |
| Popis: | In this paper we analyze feasibility conditions for Fuzzy Linear Programming problems (FLP) and a special case where its constraints are composed by fuzzy numbers bounded by crisp numbers. We analyze three cases: strong, weak feasibility, and unfeasible FLPs, where strong feasibility is much more desirable than weak one since it generalizes feasible solutions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|