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Aytaç PEKMEZCI, Nevin Güler DINÇER, Öznur ISÇI GÜNERI
Pág. 307 - 320
Fuzzy Time Series (FTS) methods are used frequently in time series analysis due to their advantages such as having no assumptions, having few observations, being able to process incomplete, uncertain and linguistic data. The FTS consists of 6 steps, each...
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Alexey F. Rogachev, Alexey B. Simonov, Natalia V. Ketko and Natalia N. Skiter
In this article, the authors propose an algorithmic approach to building a model of the dynamics of economic and, in particular, innovation processes. The approach under consideration is based on a complex algorithm that includes (1) decomposition of the...
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Sergey M. Agayan, Dmitriy A. Kamaev, Shamil R. Bogoutdinov, Andron O. Aleksanyan and Boris V. Dzeranov
The method of analyzing data known as Discrete Mathematical Analysis (DMA) incorporates fuzzy mathematics and logic. This paper focuses on applying DMA to study the morphology of time series by utilizing the language of fuzzy mathematics. The morphologic...
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Mingxian Wang, Hongyan Wang, Langfu Cui, Gang Xiang, Xiaoxuan Han, Qingzhen Zhang and Juan Chen
The aero-engine is the heart of an aircraft; its performance deteriorates rapidly due to the high temperature and high-pressure environment during flights. It is necessary to predict the remaining useful life (RUL) to improve the reliability of aero-engi...
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Mahshid Khazaeiathar, Reza Hadizadeh, Nasrin Fathollahzadeh Attar and Britta Schmalz
The behavior of hydrological processes is periodic and stochastic due to the influence of climatic factors. Therefore, it is crucial to develop the models based on their periodicity and stochastic nature for prediction. Furthermore, forecasting the strea...
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Guoliang Feng, Wei Lu and Jianhua Yang
A novel design method for time series modeling and prediction with fuzzy cognitive maps (FCM) is proposed in this paper. The developed model exploits the least square method to learn the weight matrix of FCM derived from the given historical data of time...
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Hala Ahmed Abdul- Moneim
Pág. Page:79 - 90Abstract
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Zarifa Jabrayilova
Pág. 18 - 25
The scientific methodological and functional principles of the intelligent decision support system for the management of demographic situation based on predictions are developed. Predictions (prognosis) of the changes in the number of the population, its...
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Konstantinos I. Papageorgiou, Katarzyna Poczeta, Elpiniki Papageorgiou, Vassilis C. Gerogiannis and George Stamoulis
This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim of time series forecasting is to ...
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Fernando Gaxiola, Patricia Melin, Fevrier Valdez, Oscar Castillo and Juan R. Castro
A comparison of different T-norms and S-norms for interval type-2 fuzzy number weights is proposed in this work. The interval type-2 fuzzy number weights are used in a neural network with an interval backpropagation learning enhanced method for weight ad...
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Waqas Ul Hussan, Muhammad Khurram Shahzad, Frank Seidel and Franz Nestmann
The accurate estimate of sediment load is important for management of the river ecosystem, designing of water infrastructures, and planning of reservoir operations. The direct measurement of sediment is the most credible method to estimate the sediments....
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Ligang Yuan, Yang Zeng, Haiyan Chen and Jiazhi Jin
In order to quantify the degree of influence of weather on traffic situations in real time, this paper proposes a terminal traffic situation prediction model under the influence of weather (TSPM-W) based on deep learning approaches. First, a feature set ...
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Amit Banerjee and Issam Abu-Mahfouz
Fuzzy c-means (FCM), the fuzzy variant of the popular k-means, has been used for data clustering when cluster boundaries are not well defined. The choice of initial cluster prototypes (or the initialization of cluster memberships), and the fact that the ...
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Lin Zhang, Yian Zhu, Xianchen Shi and Xuesi Li
To improve the intelligence and accuracy of the Situation Assessment (SA) in complex scenes, this work develops an improved fuzzy deep neural network approach to the situation assessment for multiple Unmanned Aerial Vehicle(UAV)s. Firstly, this work norm...
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Yicheng Gong, Zhongjing Wang, Guoyin Xu and Zixiong Zhang
The reliable and accurate prediction of groundwater levels is important to improve water-use efficiency in the development and management of water resources. Three nonlinear time-series intelligence hybrid models were proposed to predict groundwater leve...
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Du?an Polomcic, Zoran Gligoric, Dragoljub Bajic and Cedomir Cvijovic
Having the ability to forecast groundwater levels is very significant because of their vital role in basic functions related to efficiency and the sustainability of water supplies. The uncertainty which dominates our understanding of the functioning of w...
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Du?an Polomcic, Zoran Gligoric, Dragoljub Bajic, Cedomir Cvijovic
Pág. 1 - 16
Having the ability to forecast groundwater levels is very significant because of their vital role in basic functions related to efficiency and the sustainability of water supplies. The uncertainty which dominates our understanding of the functioning of w...
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Murali Krishna Gumma, Prasad S. Thenkabail and Andrew Nelson
Mapping irrigated areas of a river basin is important in terms of assessing water use and food security. This paper describes an innovative remote sensing based vegetation phenological approach to map irrigated areas and then the differentiates the groun...
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Ruliang Lin, Lijing Huang, Zhiwen Liu, Xuehua Zhou and Zhiguo Zhou
Sixty percent of the failures of launch vehicles in the ascending phase occur in the propulsion system. Among them, the vibration generated by the engine is an important factor in the occurrence of failure. At present, health assessment methods in the ae...
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Yingjun Hu, Anmin Zhang, Wuliu Tian, Jinfen Zhang and Zebei Hou
Most maritime accidents are caused by human errors or failures. Providing early warning and decision support to the officer on watch (OOW) is one of the primary issues to reduce such errors and failures. In this paper, a quantitative real-time multi-ship...
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