| Autor: |
César Amilcar López Bello, Juan Carlos Figueroa Garcia |
| Rok vydání: |
2009 |
| Předmět: |
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| Zdroj: |
NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society. |
| DOI: |
10.1109/nafips.2009.5156464 |
| Popis: |
This paper shows an alternative method to find optimal solutions of a Fuzzy Linear Programming (FLP) problems. The classical FLP problem is treated by using fuzzy restrictions in the form Ax ⩽ b where˘indicates a Type-1 Fuzzy Set (T1 FS). The proposed approach uses joint Ӑ and b fuzzy parameters to solve a FLP model. Nonlinear membership functions are used to represent imprecisions in their parameters and the Cumulative Membership Function (CMF) is used to solve the problem by means of an α-cut approach. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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