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Introduction
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Publications
Publications (139)
Background
Accurately predicting the future development trend of population aging is conducive to accelerating the development of the elderly care industry. This study constructed a combined optimization grey prediction model to predict the structure and density of elderly population.
Methods
In this paper, a GT-FGM model is proposed, which combin...
It is important to detect the internal operating regularity in system developing with poor information. To identify the real relationship among multi factors, we propose a grey relational analysis (GRA) method inspired by the characteristics of sequences variation. The proposed model considers the changes of fluctuating sequences like cross-sequenc...
Background
To meet the needs of diversified pension services and the construction of aged care institutions is one of the urgent livelihood issues in China. Under the major national needs of pension and care for the elderly, it is necessary to optimize the allocation of pension and care for the elderly resources, and formulate operational coping st...
Population, resources and environment constitute an interacting and interdependent whole. Only by scientifically forecasting and accurately grasping future population trends can we use limited resources to promote the sustainable development of society. Because the population system is affected by many complex factors and the structural relations a...
The particle filter (PF) has been widely studied in the prognostics’ field due to its ability to deal with nonlinear and non-stationary systems. However, there is no update of the model parameters during the prediction, preventing PF to work in its traditional way to generate accurate long-term predictions. In order to solve this problem, we put fo...
Objectives
The prediction and early warning of infectious diseases is an important work in the field of public health. This study constructed the grey self-memory system model to predict the incidence trend of infectious diseases affected by many uncertain factors.
Study design
The design of this study is a combination of the prediction method and...
Saliency extraction is a technique inspired by the human approach in processing a selected portion of the visual information received. This feature in the human visual system helps reduce the processing the brain needs to extract important information and neglect general and unimportant information. This paper presents a novel approach to identifyi...
In this paper we focus on an unrelated parallel workgroup scheduling problem where each workgroup is composed of a number of personnel with similar work skills which has eligibility and human resource constraints. The most difference from the general unrelated parallel machine scheduling with resource constraints is that one workgroup can process m...
Purpose
The purpose of this paper is to analyze the spectral characteristics of moving average operator and to propose a novel time-frequency hybrid sequence operator.
Design/methodology/approach
Firstly, the complex data is converted into frequency domain data by Fourier transform. An appropriate frequency domain operator is constructed to elimin...
Purpose
Online health monitoring of large complex equipment has become a trend in the field of equipment diagnostics and prognostics due to the rapid development of sensing and computing technologies. The purpose of this paper is to construct a more accurate and stable grey model based on similar information fusion to predict the real-time remainin...
Historical failure instances of a system with diversified degradation patterns will pose great challenge for prognostics. Consequently, it is challenging to accurately predict the remaining useful life (RUL) using a prognostic model trained from such data. To solve this problem, this paper proposes a just-in-time learning-based data-driven prognost...
Through specific efforts to eliminate poverty over several decades, a large number of poverty-stricken families in China have been lifted out of poverty although, in some rural areas, there still exist a large number of very poor people. In 2013, to realize the aim of eliminating poverty in the whole of China by 2020, a specific, targeted poverty a...
The harm caused by defective vaccines to human health and social stability is immeasurable. Aiming at the government’s supervision of the vaccine market, an evolutionary game model is constructed to analyze the quality of supervision and the key factors in the dynamic interaction between government departments and vaccine manufacturers under differ...
Purpose
The purpose of this paper is to analyze the mechanism and filter efficacy of accumulation generation operator (AGO)/inverse accumulation generation operator (IAGO) in the frequency domain.
Design/methodology/approach
The AGO/IAGO in time domain will be transferred to the frequency domain by the Fourier transform. Based on the consistency o...
Purpose
The purpose of this paper is to present a novel synthetic index of two counts and mathematical model for researcher evaluation.
Design/methodology/approach
A synthetic index L for researcher evaluation considering both the total number of other citations ( C ) and nonacademic impact ( I ) and a synthetic evaluation model are proposed in th...
In this work, a novel diagnostic and prognostic framework is proposed to detect faults and predict remaining service life (RSL) of large-scale rotating machinery in the presence of scarce failure data. In the proposed framework, a canonical variate residuals (CVR)-based diagnostic method is developed to facilitate RSL prediction by continuously imp...
Purpose
The purpose of this paper is to propose a framework for data analytics where everything is grey in nature and the associated uncertainty is considered as an essential part in data collection, profiling, imputation, analysis and decision making.
Design/methodology/approach
A comparative study is conducted between the available uncertainty m...
Data-driven machine health monitoring systems (MHMS) have been widely investigated and applied in the field of machine diagnostics and prognostics with the aim of realizing predictive maintenance. It involves using data to identify early warnings that indicate potential system malfunctioning, predict when system failure might occur, and pre-emptive...
This paper puts forward a newly derived framework for capturing and inferring from subjective based uncertainty for any given observation. The framework is referred to as the R-fuzzy grey analysis framework (RfGAf), which itself is comprised of 3 distinct components: 1. R-fuzzy sets - to capture the uncertainty, which utilises crisp rough set bound...
The small and fluctuating samples of lubricating oil data render the wear trend prediction a challenging task in operation and maintenance management of wind turbine gearboxes. To deal with this problem, this paper puts forward a method to enhance the prediction accuracy and robustness of the grey prediction model by introducing multi-source inform...
The goal of this work is to present and explore the application of a novel nonlinear grey Bernoulli combined model based on a self-memory algorithm, abbreviated as SA-NGBM, for modeling single-peaked sequences of time samples of acetylsalicylate plasma concentration following oral dosing. The self-memorization SA-NGBM routine reduces the dependence...
The priority weight vectors of an intuitionistic fuzzy preference relation (IFPR) with linear uncertainty distribution characteristics in group decision making (GDM) are determined in this study. On the basis of an IFPR, the assumptions of additive consistency and decision-making preference variables obeying the uncertainty distribution are defined...
The Beijing-Tianjin-Hebei region is facing a very serious air pollution problem. To obtain the future trend of air quality, the GM(1,1) model with the fractional order accumulation (FGM(1,1)) is used to predict the average annual concentrations of PM2.5, PM10, SO2, NO2, 8-h O3, and 24-h O3 in the Beijing-Tianjin-Hebei region from 2017 to 2020. The...
The electricity consumption forecasting problem is especially important for policy making in developing region. To properly formulate policies, it is necessary to have reliable forecasts. Electricity consumption forecasting is influenced by some factors, such as economic, population and so on. Considering all factors is a difficult task since it re...
This chapter studies how to make sure when the economic performance indicators approach some pre-determined target values due to the effect of adopted policies, the economy also develops reasonably well without experiencing much severe up-and-down fluctuations. This problem of concern is resolved by addressing the corresponding problem of pole plac...
The randomness, non-stationarity and irregularity of air quality index series bring the difficulty of air quality index forecasting. To enhance forecast accuracy, a novel model combining grey accumulated generating technique and Holt–Winters method is developed for air quality index forecasting in this paper. The grey accumulated generating techniq...
According to the case-based reasoning method and prospect theory, this paper mainly focuses on finding a way to obtain decision-makers’ preferences and the criterion weights for stochastic multicriteria decision-making problems and classify alternatives. Firstly, we construct a new score function for an intuitionistic fuzzy number (IFN) considering...
Purpose
The purpose of this paper is to present the terms of grey clustering evaluation models.
Design/methodology/approach
The definitions of basic terms about grey clustering evaluation models are presented one by one.
Findings
The reader could know the basic explanation about the important terms about various grey clustering evaluation models...
Purpose
The purpose of this paper is to present the terms of grey forecasting models and techniques.
Design/methodology/approach
The definitions of basic terms about grey forecasting models and techniques are presented one by one.
Findings
The reader could know the basic explanation about the important terms about various grey forecasting models...
Purpose
The purpose of this paper is to present the terms of grey incidence analysis models.
Design/methodology/approach
The definitions of basic terms about various grey incidence analysis models are presented one by one.
Findings
The reader could know the basic explanation about the important terms about various grey incidence analysis models f...
Purpose
The purpose of this paper is to illustrate an uncertain programming model for scheduling of preventive maintenance (PM) actions. The PM scheduling, in which PM actions are performed under fixed intervals, is solved by grey systems theory.
Design/methodology/approach
The paper applied the grey evaluation method based on triangular whiteni...
On the basis of dividing the spectrum of scientific and technological endeavors into fine sections, the overall development of modern science has shown the tendency of synthesis at a high level. This higher level synthesis has led to the appearance of various studies of systems science with their specific methodological and epistemological signific...
Model GM (1,1)
is the basic model of grey prediction theory and has been used widely since its development in the early 1980s.
As a scientific concept, the so-called control stands for a special effect a controlling device exerts on controlled equipment. It is a purposeful, selective and dynamic activity. A control system contains at least three parts, including a controlling device, controlled equipment, and an information path.
No matter what needs to be done, one should always get familiar with the situation, think through the details, make educated predictions, and lay out a detailed plan before he could potentially arrive at his desired successful conclusions.
A grey system is described with grey numbers, grey sequences, grey equations, or matrices. Here, grey numbers
are the elementary “atoms” or “cells”, and their exact values are unknown. In applications, a grey number stands for an indeterminate number that takes its possible value within an interval or a general set of numbers. A grey number is gene...
Grey clustering is a method developed for classifying observation indices or observation objects into definable classes using grey incidence matrices or grey possibility functions
. Each cluster can be seen as a set consisting of all the observational objects of a kind. When investigating practical problems, it is often the case that each observati...
In 1982, Julong Deng initiated and established grey systems
theory. Currently, grey systems theory is widely applied in areas such as social sciences, economics, agriculture, meteorology, military and science, providing solutions to a large number of practical problems and challenges met in everyday life.
Over the past 30 years, grey systems theory has developed as a scientific discipline with its own theoretical structure consisting of systems analysis, evaluation, modeling, prediction
, decision-making, control, and techniques of optimization.
Along with the disciplinary development of systems science and systems engineering, methods and modeling techniques established for systems evaluation, prediction, decision-making, and optimization are enriched constantly.
One of the main tasks of grey systems theory is to uncover the mathematical relationships between different system variables and the laws of change of certain system variables themselves based on the available data of characteristic behaviors of social, economic and ecological systems, for example. Grey systems theory looks at each stochastic
varia...
Any given system, such as a social, economic, agricultural, ecological, and educational system, will encompass different kinds of factors. It is the result of the mutual interactions of these factors that determines the development tendency and behavior of the system.
Deciding on what actions to take based on actual circumstances and pre-determined goals is known as decision-making. The essential meaning of decision-making is to make a decision or to choose a course of actions. Decision-making not only plays an important part in various kinds of management activities, but also appears throughout every person’s d...
This book inclusively and systematically presents the fundamental methods, models and techniques of practical application of grey data analysis, bringing together the authors’ many years of theoretical exploration, real-life application, and teaching. It also reflects the majority of recent theoretical and applied advances in the theory achieved by...
To improve the using rationality of complex equipment cost, this paper presents a novel grey self-memory combined model for predicting the equipment cost. The proposed model can improve the modeling accuracy by means of the self-memory prediction technique. The combined model combines the advantages of the self-memory principle and traditional grey...
To reveal the relationship between the weakening buffer operator and strengthening buffer operator, the traditional integer order buffer operator is extended to fractional order one. Fractional order buffer operator not only can generalize the weakening buffer operator and the strengthening buffer operator, but also realize tiny adjustment of buffe...
Purpose
The purpose of this paper is to present the terms of concepts and fundamental principles of grey systems.
Design/methodology/approach
The definitions of basic terms about concepts and fundamental principles of grey systems are presented one by one.
Findings
The reader could know the basic explanation about the important terms about concep...
Purpose
The purpose of this paper is to present the terms of sequence operators and grey data mining.
Design/methodology/approach
The definitions of basic terms about sequence operators and grey data mining are presented one by one.
Findings
The reader could know the basic explanation about the important terms about sequence operators and grey da...
Purpose
The purpose of this paper is to present the terms of grey numbers and its operations.
Design/methodology/approach
The definitions of elementary terms about grey numbers and its operations are presented one by one.
Findings
The reader could know the basic explanation about the important terms about grey numbers and its operations from this...
This paper investigates the use of grey theory to enhance the concept of an R-fuzzy set, with regards to the precision of the encapsulating set of returned significance values. The use of lower and upper approximations from rough set theory, allow for an R-fuzzy approach to encapsulate uncertain fuzzy membership values; both collectively generic an...
China’s gasoline prices are still regulated by government although China’s refined oil pricing mechanism has been reformed for many times. In this paper, proximity and similarity between China’s gasoline prices and Brent crude oil prices are calculated in the different stages with China’s refined oil pricing mechanism reforming, by using daily data...
This paper investigates the use of the R-fuzzy significance measure hybrid approach introduced by the authors in a previous work; used in conjunction with grey analysis to allow for further inferencing, providing a higher dimension of accuracy and understanding. As a single observation can have a multitude of different perspectives, choosing a sing...
Different from traditional distances between Intuitionistic Fuzzy Sets (IFS), the spherical distance between two IFSs relies not only on their relative differences but also their absolute values. In this paper, we generalize the properties of spherical distance measures between IFSs, and investigate the applications of spherical distance measures i...
The main aim of this paper is to connect R-Fuzzy sets and type-2 fuzzy sets, so as to provide a practical means to express complex uncertainty without the associated difficulty of a type-2 fuzzy set. The paper puts forward a significance measure, to provide a means for understanding the importance of the membership values contained within an R-fuzz...
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...
Purpose
– The purpose of this paper is to construct an optimal resource reallocation model of the limited resource by a moderator for reaching the greatest consensus, and show how to reallocate the limited resources by using optimization methodology once the consensus opinion is reached. Moreover, this paper also devotes to theoretically exploring...
To weaken the disturbances of multi-variable and reveal the real situation, it is proved that the essence of the weakening buffer operator (abbreviated as WBO) can weaken the disturbance of one variable. According to this, the multi-variable weakening buffer operator is put forward. The multi-variable weakening buffer operator can satisfy the desir...
Purpose
– The purpose of this paper is to present two novel grey cluster evaluation models to solve the difficulty in extending the bounds of each clustering index of grey cluster evaluation models.
Design/methodology/approach
– In this paper, the triangular whitenization weight function corresponding to class 1 is changed to a whitenization weigh...
To resolve the conflict between our desire for a good smoothing effect and desire to give additional weight to the recent change, a grey accumulating generation operator that can smooth the random interference of data is introduced into the double exponential smoothing method. The results of practical numerical examples have demonstrated that the p...
A linear programming model is established to reflect the relationship between China's economic development and the related carbon dioxide (CO2) emissions, which is revealed by analysing the characteristics of China's economic development. Grey prediction model, GM(1,1), is applied to forecast the parameters of the programming model, including the t...
Purpose
– The purpose of this paper is to provide a foundational reference and practical guidance for modelling small and poor data with incomplete information.
Design/methodology/approach
– The definitions of four basic models of GM(1, 1), such as Even Grey Model (EGM), Original Difference Grey Model (ODGM), Even Difference Grey Model (EDGM) and...
This paper investigates validity of using grey relational analysis (GRA) for natural language processing (NLP). The domain of NLP is one associated with inherent vagueness and abstraction, with many sub-domains all invoking their own associated uncertainties. Regardless of the particularisation, the main objective is understanding and making sense...
The main aim of this paper is to provide a means for understanding the importance of the membership values contained within an R-fuzzy set, via the notion of a newly derived significance measure based on relative frequencies. An R-fuzzy set is a relatively new extension of fuzzy sets, one which encapsulates fuzzy membership values via the incorpora...
This paper presents a novel multi-variable grey self-memory coupling prediction model (SMGM(1,m)) for use in multi-variable systems with interactional relationship under the condition of small sample size. The proposed model can uniformly describe the relationships among system variables and improve the modeling accuracy. The SMGM(1,m) model combin...
In terms of grey system theory, it is a new methodology that focuses on the problems involving small samples and poor information. It deals with uncertain systems with partially known information through generating, excavating, and extracting useful information from what is available. The theory focuses on the generation and excavation of the parti...
Abstract—Machine vision is still a challenging topic and
attracts researchers to carry out researches in this field. Efforts
have been placed to design machine vision systems (MVS) that
are inspired by human vision system (HVS). Attention is one of
the important properties of HVS, with which the human can
focus only on part of the scene at a time;...
Abstract—Machine vision is still a challenging topic and
attracts researchers to carry out researches in this field. Efforts
have been placed to design machine vision systems (MVS) that
are inspired by human vision system (HVS). Attention is one of
the important properties of HVS, with which the human can
focus only on part of the scene at a time;...
To determine the ordered weighted averaging (OWA) weights, the latent information function is developed to analyze the likelihood of occurrence for the preference value. The more likelihood a preference value is, the bigger the weight is, and vice versa. The proposed model is further extended to the situation where the preference value is an interv...
A gray model with a time varying weighted generating operator is put forward in order to fully extract information concealed in recent data. This model increases the weight of new data and reduces the influence of some possible data fluctuation. The relationship between the sample size and the error from the inverse time varying weighted generating...
Grey system theory and the expert investigation method are used to establish an evaluation index system for vendor performance at development stage and mass production stage, where the weight of each index is determined. The grey cluster evaluation model based on mixed end-point triangular whitenization weight function are used, to comprehensively...
As the most knowledge-intensive industrial sectors, China’s defense industries are developing very fast. The present paper will explore the contribution of China’s defense innovation to its economic growth. Cobb-Douglas production function, integrating defense and non-defense stock in knowledge, is applied during the course. In addition, an input-o...
Saliency or salient region extraction from images is still a challenging field as it needs some understanding of the image and its nature. A technique that is suitable for some applications is not necessarily useful in other applications, thus, saliency identification is dependent upon the application. Based on a survey of existing methods of salie...
This research proposes a new model for constructing decision trees using interval-valued fuzzy membership values. Most existing fuzzy decision trees do not consider the uncertainty associated with their membership values, however, precise values of fuzzy membership values are not always possible. In this paper, we represent fuzzy membership values...
The aim of this paper is to distinguish between some of the more intrinsic differences that exist between grey system theory (GST) and fuzzy system theory (FST). There are several aspects of both paradigms that are closely related, it is precisely these close relations that will often result in a misunderstanding or misinterpretation. The subtly of...
Abstract— Saliency or Salient region extraction from images is still a challenging field as it needs some understanding of the image and its nature. A technique that is suitable for some applications is not necessarily useful in other applications, thus, saliency enhancement is application-oriented. Based on a survey of existing methods of saliency...
In the literature there is a presumption that a grey set and
an interval-valued fuzzy set are equivalent. This presumption ignores the existence of discrete components in a grey number. In this paper new measurements of uncertainties of grey numbers and grey sets,
consisting of both absolute and relative uncertainties, are defined to give a compreh...
In computer vision applications it is necessary to extract the regions of interest in order to reduce the search space and to improve image contents identification. Human-Oriented Regions of Interest can be extracted by collecting some feedback from the user. The feedback usually provided by the user by giving different ranks for the identified reg...
The aim of this paper is to investigate system main variable forecasting problems with grey number information, in which the true values about the variable sequence are incompletely known while the potential value sets could be defined In order to analyze the forecasting interval of developing trend of system main variable, we established a novel s...
Saliency or Salient regions extractions form
images is still a challenging field since it needs some
understanding for the image and the nature of the image.
The technique that is suitable in some application is not
necessarily useful in other application, thus, saliency
enhancement is application oriented. In this paper, a new
technique of extract...