Dempster-shafer based probabilistic fuzzy logic system for wind speed prediction
| Autor: | Xian-Bing Meng, Han-Xiong Li |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Structure (mathematical logic)
Computer science 020209 energy Dempster–Shafer theory 0202 electrical engineering electronic engineering information engineering Probabilistic logic Swarm behaviour Particle swarm optimization Probability density function 02 engineering and technology Fuzzy logic Algorithm Wind speed |
| Zdroj: | 2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY). |
| DOI: | 10.1109/ifuzzy.2017.8311787 |
| Popis: | This paper proposes an improved probabilistic fuzzy logic system with Dempster-Shafer structure (DS-PFLS) for wind speed prediction. The Dempster-Shafer theory and 3-sigma results are integrated into probabilistic fuzzy logic system (PFLS) to address the complex derivation of the secondary probability density function and to eliminate the computational overload. The secondary probability density function based on the center of primary fuzzy membership in PFLS is proposed. Moreover, an improved Chicken Swarm Optimization (CSO) is developed for optimizing the related parameters of DS-PFLS. Simulations and comparisons based on the wind speed prediction demonstrate the effectivity and efficiency of the proposed method. |
| Databáze: | OpenAIRE |
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