Search Results - subject:"fuzzy inference"

Comparison of Recurrent Neural Network, Adaptive Neuro-Fuzzy Inference System and Stochastic Models in Eğirdir Lake Level Forecasting

Güldal, Veysel; Tongal, Hakan - In: Water Resources Management 24 (2010) 1, pp. 105-128

-based fuzzy inference system (ANFIS) as prediction models which have various input structures were constructed and the best fit …

Persistent link: https://www.econbiz.de/10010997376

Evaluating the expansion flexibility of flexible manufacturing systems in uncertain environments

Pellegrino, Roberta - In: International Journal of Engineering Management and … 1 (2010) 2/3, pp. 145-161

Flexibility in manufacturing systems allows the management to actively react to some unexpected market events, allowing them to take advantage from these events, and simultaneously reduce their losses. Flexible systems have greater costs than dedicated ones. Thus, a correct evaluation of this...

Persistent link: https://www.econbiz.de/10010670338

Rough Fuzzy Inference Model and its Application in Multi-factor Medium and Long-term Hydrological Forecast

Zhu, Yong-Ying; Zhou, Hui-Cheng - In: Water Resources Management 23 (2009) 3, pp. 493-507

This paper targets efforts to integrate rough set theory and the fuzzy inference technique into the multi … solution which is as fuzzy inference forecast pattern rule set in the model is achieved according to the principle of maximal …

Persistent link: https://www.econbiz.de/10010794359

RELIABILITY CENTERED MULTI OBJECTIVE HYBRID FLOW SHOP SCHEDULING

LIPI, TAHMINA FERDOUSI; HASIN, MD. AHSAN AKHTAR; … - In: Asia-Pacific Journal of Operational Research (APJOR) 26 (2009) 05, pp. 637-653

aims to develop two fuzzy inference systems (FIS) for hybrid flow shop problem. First FIS is used to get priority of each …

Persistent link: https://www.econbiz.de/10008473483

Modeling a ground-coupled heat pump system by a support vector machine

Esen, Hikmet; Inalli, Mustafa; Sengur, Abdulkadir; … - In: Renewable Energy 33 (2008) 8, pp. 1814-1823

This paper reports on a modeling study of ground coupled heat pump (GCHP) system performance (COP) by using a support vector machine (SVM) method. A GCHP system is a multi-variable system that is hard to model by conventional methods. As regards the SVM, it has a superior capability for...

Persistent link: https://www.econbiz.de/10010804892

Reservoir Operation Using a Dynamic Programming Fuzzy Rule–Based Approach

Mousavi, S.; Ponnambalam, K.; Karray, F. - In: Water Resources Management 19 (2005) 5, pp. 655-672

A dynamic programming fuzzy rule–based (DPFRB) model for optimal operation of reservoirs system is presented in this paper. In the first step, a deterministic dynamic programming (DP) model is used to develop the optimal set of inflows, storage volumes, and reservoir releases. These optimal...

Persistent link: https://www.econbiz.de/10010794672

NGOs and the Foreign donations

Situngkir, Hokky; Siagian, Rio - EconWPA - 2004

the sake of social conductivity on social process i.e.: economy, politics, and cultural. We built the model by using fuzzy … inference system to approach the complexity of the measurement problem of the effectiveness the foreign aid received by the NGOs …

Persistent link: https://www.econbiz.de/10005561503

NGOs and the Foreign donations

Situngkir, Hokky; Siagian, Rio - Bandung Fe Institute - 2003

Persistent link: https://www.econbiz.de/10008876745

BEHAVIORISTIC ANALYSIS AND COMPARATIVE EVALUATION OF INTELLIGENT METHODOLOGIES FOR SHORT-TERM STOCK PRICE FORECASTING

Koulouriotis, D.E.; Emiris, D.M.; Diakoulakis, I.E.; … - In: Fuzzy Economic Review VII (2002) 2, pp. 23-57

Fuzzy Inference System -ANFIS), and a practically exhaustive comparative stu-dy of the performance and behavior of these …

Persistent link: https://www.econbiz.de/10005000554