... to systematically resolve such inconsistencies. Design/methodology/approach The framework employs Grey Systems Theory to quantify ranking uncertainties through interval grey numbers. A Python-coded algorithm compares these grey numbers using possibility degree functions, enabling systematic aggregation...

...Francisco Trejo; Rafael Torres Escobar Purpose The purpose of this paper is to propose a novel model, to forecast demand for a third-party service by using the Grey Systems Theory (GST) and Markov Chains, where its forecast error performance is evaluated through mean percentage error, mean...

... key directions of research, such as big data analysis, artificial intelligence technology, and system engineering methods, but also provides readers with a visual entry point to comprehensively understand this field. Grey systems theory Cost prediction Residual category merger operator Non...

... problems. The remainder of this paper is organized as follows. Some necessary backgrounds and definitions of the grey systems theory, grey numbers and grey order relations are presented in Section 2 . A definition of the grey linear programming problem and its applications are given in Section 3...

...: Rafał Mierzwiak can be contacted at: rafal.mierzwiak@put.poznan.pl 08 11 2019 01 01 2020 06 01 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Strategic analysis Portfolio analysis Grey systems theory Grey decision...

... performance indicator for the final decision. Inventory routing problem Demand uncertainty Grey systems theory Interval grey numbers The paper is organized as follows: in section 2 , a related literature review for the IRP and grey programming models is provided; also, a biobjective IRP model...

... et al. (2014) . These order relations are discussed in detail and are compared on a set of selected pairs of interval grey numbers. At the end, an encouraging conclusion is drawn in this regard. Grey systems theory is one of the approaches developed for studying uncertainty...

...Ewa Wiecek-Janka; Marcin Nowak; Arkadiusz Borowiec Purpose This paper is a part of the application trend of the development of the grey systems theory. The purpose of this paper is to present the use of the GDM model in the diagnosis of the occurrence of crises in family businesses. The issue...

... Publishing Limited Licensed re-use rights only Grey linear programming Grey number Grey systems theory Animal diet Positioned method Animal diet is an important factor for growth, reproduction, and livestock management (Saxena et al., 2016). The diet problem was one of the first...

...Hamed Maleki; Yingjie Yang 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...

...Sifeng Liu; Yingjie Yang; Naiming Xie; Jeffrey Forrest 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...

...Professor Delcea Camelia; Delcea Camelia Purpose – As the grey systems theory has been used over the time in different economic areas, in the following, a short literature review will be put forward, starting from the usage of these theory in the supply chain management, decision-making process...

... of the real systems and the study of its proprieties using the methods and techniques of grey system theory remains an important direction of the researches. Originality/value – The paper discusses the differences among the three types of knowledge and how they and the grey systems theory can be used...

... been done in this field and to determine which can be the next research directions that can emerge from here. Originality/value – The paper succeeds in enlarging the view regarding the usage of grey systems theory in the economic field, offering a suitable analysis on the considered areas. Even...

... and control theory Grey systems theory Derived grey verhulst model Multiplication transformation A time series is a collection of data points which are generally sampled equally in time intervals. Time series prediction refers to the process by which the future values of a system is forecasted...

...Qiao-Xing Li Dr Jie Cui Huai Yin Institute of Technology, China Professor Guo-Dong Li Tokyo Metropolitan Institute of Technology, Japan Outstanding reviewers This article originally appeared in Volume 2 Number 1, 2012, Grey Systems: Theory and Application...

... were included almost all the elements related to company's behaviour on a market, in an uncertain environment and in the relations developed with stockholders. And what theory can better shape this relation than grey systems theory, a theory of uncertainty and of continual changes? At first, all...

... in Figure 3 . © Emerald Group Publishing Limited 2013 Grey systems Simulation Modelling Grey systems theory Grey model Random simulation Error Monte Carlo methods Since the grey system theory proposed by Professor Deng Julong, the grey model has been widely used in industry...

... succeeds in providing systematic results of computation of uncertain determinant and n linear equations by using grey systems theory and enriches the contents of grey mathematics. For example, N(12345678)=0, N(87654321)=28 and N(4132)=4. Apparently, the total sum of n‐level array...

...Huang Chang Mei; Shen Wei Hua; Xiao Xiao Cong Purpose The paper attempts to establish GM(1,1) grey prediction model group for the top three Olympic track and field sports performance, and to predict the 30th London Olympic track and field results and its tendency using grey systems theory...