The grey theory mainly works on systems analysis with poor, incomplete or uncertain messages. The popular grey model, GM(1,1) is efficient for long-term port throughput forecasting. However, it is imperfect when the throughput increases in the curve with S type or the increment of throughput is in the saturation stage. In this case, the throughput forecasting error of grey system model will bec...

This paper evaluates the human resource information systems provided by different vendors using two new hybrid multicriteria decision-making methods that require ordinal data as inputs. First, grey-point-allocation full-consistency (Grey-PA-FUCOM) weighting method is proposed. The Grey-PA-FUCOM combines simple point-allocation widely used managers and advanced FUCOM accepted scholars in grey sy...

Grey theory [1] has been proposed over 30 years. Great endeavor has been devoted to increase the forecasting precision. One of methods treated the forecasting error to become the modified grey forecasting model. Hsu and Wen [2] modified original GM (1,1) models are improved by using residual modifications with Markov chain sign estimations. Hsu and Chen [3] improved grey GM (1,1) model, using a...

Purpose – The purpose of this paper is to propose a grey linear control system for regulating the price of China’s real estate and provide the necessary support to assist the relevant management departments with their policy making. Design/methodology/approach – A grey state equation of the real estate market price that can reflect both the market supply-demand price mechanism and the productio...

In order to improve the prediction precision of grain yield, the grey system theory and the fuzzy neutral network are combined to construct the combined prediction model, which is applied in predicting the grain yield. Firstly, the basic theory of the grey system theory is analyzed. Secondly, the mathematical model of fuzzy neutral network is studied, and the corresponding algorithm procedure i...

High-quality products are considered as one of the most important practices for achieving success. However, it is really hard to predict and forecast the product quality due to some undetermined parameters. In order to forecast product quality from various aspects, we propose an integrated model of utilizing grey theory and neural network. In this paper, the grey forecasting model for product q...

In order to conduct grey relational analysis of the teaching skills and learning results of aerobics, based on brief introduction of related theories of the grey relational analysis method, this paper uses the viewpoints of system theory to systematically classify the teaching skills of aerobics. Finally, the grey relational analysis method in statistics is combined with the study on the learni...

The aim of this work is the identification of software project quality performance measures that would enable valid comparison and ranking of the completed projects. Software projects can be characterized by a set of influence factors. A subset of the influence factors is relevant for software project quality. In order to predict and determine the ranking of software projects by their success, ...

The theory instrument of grey relational analysis is grey relational grade between the sequences. The grey relational grade is a measure of the degree of association between two factors, or between two systems. It describes the relative changes among the various factors in the development process of the system. In turn, we can calculate the grey relational grade, compare and judge the grey rela...