Search Results - subject:"Fuzzy Inference"

A new strategy for predicting short-term wind speed using soft computing models

Haque, Ashraf U.; Mandal, Paras; Kaye, Mary E.; Meng, Julian - In: Renewable and Sustainable Energy Reviews 16 (2012) 7, pp. 4563-4573

), a radial basis function neural network (RBFNN), and an adaptive neuro-fuzzy inference system (ANFIS). The forecasting …

Persistent link: https://www.econbiz.de/10010664557

Managing demand uncertainty through fuzzy inference in supply chain planning

Jung, Hosang; Jeong, Suk-jae - In: International journal of production research 50 (2012) 19, pp. 5415-5429

Persistent link: https://www.econbiz.de/10009668009

Interpolation of missing wind data based on ANFIS

Yang, Zhiling; Liu, Yongqian; Li, Chengrong - In: Renewable Energy 36 (2011) 3, pp. 993-998

rules of integrity check and reasonableness check are introduced, then an adaptive neuro-fuzzy inference system (ANFIS …) model is proposed, in which fuzzy inference algorithm are used to interpolate the missing and invalid wind data. A further …

Persistent link: https://www.econbiz.de/10010803895

Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy

Rajkumar, R.K.; Ramachandaramurthy, V.K.; Yong, B.L.; … - In: Energy 36 (2011) 8, pp. 5148-5153

paper uses the ANFIS (Adaptive Neuro-Fuzzy Inference System) to model the PV and wind sources. The algorithm developed is …

Persistent link: https://www.econbiz.de/10010810182

A Neuro-fuzzy-stochastic frontier analysis approach for long-term natural gas consumption forecasting and behavior analysis: The cases of Bahrain, Saudi Arabia, Syria, and UAE

Azadeh, A.; Asadzadeh, S.M.; Saberi, M.; Nadimi, V.; … - In: Applied Energy 88 (2011) 11, pp. 3850-3859

This paper presents an adaptive network-based fuzzy inference system-stochastic frontier analysis (ANFIS-SFA) approach …

Persistent link: https://www.econbiz.de/10010576315

Mixture of MLP-experts for trend forecasting of time series: A case study of the Tehran stock exchange

Ebrahimpour, Reza; Nikoo, Hossein; Masoudnia, Saeed; … - In: International Journal of Forecasting 27 (2011) 3, pp. 804-816

, three neural network combining methods and an Adaptive Network-Based Fuzzy Inference System (ANFIS) are applied to trend …

Persistent link: https://www.econbiz.de/10010577326

AN INTELLIGENT DECISION SUPPORT BASED ON A SUBTRACTIVE CLUSTERING AND FUZZY INFERENCE SYSTEM FOR MULTIOBJECTIVE OPTIMIZATION PROBLEM IN SERIOUS GAME

BUDITJAHJANTO, I. G. P. ASTO; MIYAUCHI, HAJIME - In: International Journal of Information Technology & … 10 (2011) 05, pp. 793-810

clustering to cluster optimal solutions; furthermore, these clusters are used to build a fuzzy inference system based on the …

Persistent link: https://www.econbiz.de/10009291905

Sustainable social environment: fuzzy assessment and forecasting

Abdullayeva, N.A. - In: Fuzzy Economic Review XVI (2011) 2, pp. 21-32

This paper will present fuzzy approach to assess and forecast the sustainability of social environment based on context-dependent economic, societal, political, spiritual and ecological development indicators. Fuzzy methods are applied on the basis of new database of the indicators taken from...

Persistent link: https://www.econbiz.de/10010611278

Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)

Mohandes, M.; Rehman, S.; Rahman, S.M. - In: Applied Energy 88 (2011) 11, pp. 4024-4032

Wind energy has become a major competitor of traditional fossil fuel energy, particularly with the successful operation of multi-megawatt sized wind turbines. However, wind with reasonable speed is not adequately sustainable everywhere to build an economical wind farm. The potential site has to...

Persistent link: https://www.econbiz.de/10010572059

Top-down strategies based on adaptive fuzzy rule-based systems for daily time series forecasting

Luna, Ivette; Ballini, Rosangela - In: International Journal of Forecasting 27 (2011) 3, pp. 708-724

This paper presents a data-driven approach applied to the long term prediction of daily time series in the Neural Forecasting Competition. The proposal comprises the use of adaptive fuzzy rule-based systems in a top-down modeling framework. Therefore, daily samples are aggregated to build weekly...

Persistent link: https://www.econbiz.de/10010573803