Grey systems theory applications to wireless communications

Amanna, Ashwin; Price, Matthew J.; Thamvichai, Ratchaneekorn

doi:10.1007/s10470-011-9719-1

Cited by 6 publications

(3 citation statements)

References 22 publications

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“…According to (20), c n i approximately is equal to c n+T i when n is much bigger than T. us, the incidence degree c i is convergent.…”

Section: Quantitative Evaluation Of Grey Incidencementioning

confidence: 99%

“…Besides, that the model has a perfect index for the measurement between sequences is more in line with the theory system of grey incidence. e analysis of grey correlation comes from the grey theory, which was first proposed by Julong Deng of Huazhong University of Science and Technology in 1982 [20]. e basic idea of grey incidence analysis is to determine the correlation degree between the comparison sequences and the reference sequence; therefore, the more similar their trend-lines are, the higher the correlation is.…”

Section: Grey Incidence Analysismentioning

confidence: 99%

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Decision Model Applied in IoT for Green Buildings Based on Grey Incidence Analysis and ANN

Wang

Zou

Liu

et al. 2022

Wireless Communications and Mobile Computing

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Due to the fewer uncertainty samples and information-lacking problems in the decision-making center of the Internet of Things (IoT) for green buildings, the optimized model was selected as the preferred method in settlement prediction. In this paper, we proposed the adaptive adjustment strategies of the application layer in IoT for green buildings based on grey incidence analysis and artificial neural networks (ANNs). An additional layer H fuzzy propagation natural network algorithm was introduced to collect sensing layer data of IoT and adaptively adjust decisions. The energy-saving control of the building needs to be adjusted continuously; therefore, we have taken a grey incidence evaluation to obtain adjustment of the parameters. At the same time, the actual Heating Ventilation Air Conditioning subsystem is often in the grey state above, and the current control system of its system is missing the corresponding adjustment scheme. The introduction of the data evaluation in the data center for adaptive adjustment of input data is an effective solution. The real-time running result shows that the proposed solution reduces energy consumption by over 30% compared to the state-of-the-art approaches while having on average 10% fewer expired measurements. The strategies have a significant impact on energy savings for green buildings.

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“…According to (20), c n i approximately is equal to c n+T i when n is much bigger than T. us, the incidence degree c i is convergent.…”

Section: Quantitative Evaluation Of Grey Incidencementioning

confidence: 99%

Section: Grey Incidence Analysismentioning

confidence: 99%

Decision Model Applied in IoT for Green Buildings Based on Grey Incidence Analysis and ANN

Wang

Zou

Liu

et al. 2022

Wireless Communications and Mobile Computing

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show abstract

“…In 2010, Wu et al proposed the DEA model based on the grey incidence fuzzy set to solve the location problem. Amanna et al (2011) used GM model and GIA model comprehensively to study cognitive inference engine and automatic adjustment algorithm in wireless communication. Liu (2013) came up with a kind of generalized grey interval number incidence model and clarified the calculating process and feasibility through the examples.…”

mentioning

confidence: 99%

New progress of Grey System Theory in the new millennium

Liu

Yang

Xie

et al. 2016

Grey Systems: Theory and Application

174

152

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Purpose – The purpose of this paper is to summarize the progress in grey system research during 2000-2015, so as to present some important new concepts, models, methods and a new framework of grey system theory. Design/methodology/approach – The new thinking, new models and new methods of grey system theory and their applications are presented in this paper. It includes algorithm rules of grey numbers based on the “kernel” and the degree of greyness of grey numbers, the concept of general grey numbers, the synthesis axiom of degree of greyness of grey numbers and their operations; the general form of buffer operators of grey sequence operators; the four basic models of grey model GM(1,1), such as even GM, original difference GM, even difference GM, discrete GM and the suitable sequence type of each basic model, and suitable range of most used grey forecasting models; the similarity degree of grey incidences, the closeness degree of grey incidences and the three-dimensional absolute degree of grey incidence of grey incidence analysis models; the grey cluster model based on center-point and end-point mixed triangular whitenization functions; the multi-attribute intelligent grey target decision model, the two stages decision model with grey synthetic measure of grey decision models; grey game models, grey input-output models of grey combined models; and the problems of robust stability for grey stochastic time-delay systems of neutral type, distributed-delay type and neutral distributed-delay type of grey control, etc. And the new framework of grey system theory is given as well. Findings – The problems which remain for further studying are discussed at the end of each section. The reader could know the general picture of research and developing trend of grey system theory from this paper. Practical implications – A lot of successful practical applications of the new models to solve various problems have been found in many different areas of natural science, social science and engineering, including spaceflight, civil aviation, information, metallurgy, machinery, petroleum, chemical industry, electrical power, electronics, light industries, energy resources, transportation, medicine, health, agriculture, forestry, geography, hydrology, seismology, meteorology, environment protection, architecture, behavioral science, management science, law, education, military science, etc. These practical applications have brought forward definite and noticeable social and economic benefits. It demonstrates a wide range of applicability of grey system theory, especially in the situation where the available information is incomplete and the collected data are inaccurate. Originality/value – The reader is given a general picture of grey systems theory as a new model system and a new framework for studying problems where partial information is known; especially for uncertain systems with few data points and poor information. The problems remaining for further studying are identified at the end of each section.

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The Grey Forecasting Model for the Medium-and Long-Term Load Forecasting

Song¹,

Liu²,

Zhang³

et al. 2020

J. Phys.: Conf. Ser.

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Load forecasting plays a particularly significant role in the stable operation of grid and the reasonable distribution of power resources. Based on grey model theory, this paper carries out load forecast of power system. In this paper, the grey model theory is used to realize the medium and long-term load forecasting, and the accuracy of the model to the load forecasting is tested by using the posterior difference method. Finally, an example is given to check the method’s practicability.

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Grey systems theory applications to wireless communications

Cited by 6 publications

References 22 publications

Decision Model Applied in IoT for Green Buildings Based on Grey Incidence Analysis and ANN

Decision Model Applied in IoT for Green Buildings Based on Grey Incidence Analysis and ANN

New progress of Grey System Theory in the new millennium

The Grey Forecasting Model for the Medium-and Long-Term Load Forecasting

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