In this paper, by further using the idea of equal dimension and new information,we propose a new dynamic analysis model which combines the unbiased first-order one-variable grey differential equation model (abbreviated as UGM(1,1) model) from grey system theory and Markov chain model from stochastic process theory. We abbreviate the new combined GM(1,1)–Markov chain (MC) model as ED&NI-MCUGM(1,...

Grey relational analyses are applied to determine the suitable selection of machining parameters for Wire Electrical Discharge Machining (Wire-EDM) process. The Grey theory can provide a solution of a system in which the model is unsure or the information is incomplete. Besides, it provides an efficient solution to the uncertainty, multi-input and discrete data problem. According to the Taguchi...

The trust solutions to routing networks are faced with the evaluation of behavior trust and how to exactly evaluate the behaviors under the circumstance of existing recommend deceptive behavior such as providing fake or misleading recommendation. In this paper, by learning trust relationship from routing network, a trust evaluation model based on Grey Clustering Theory is proposed. The model ad...

Safety assessment of thermal power plants (TPP) is an important means to ensure the safety of production in thermal power production enterprises. Modern information technology can play an important role in TPP safety assessment. The evaluation of power plant systems relies, to a large extent, on the knowledge and experience of the experts undertaking the task. Case-based reasoning (CBR) is intr...

Supplier selection is a multi-attribute decision making (MADM) problem that is affected by quantitative and qualitative factors, some of which may conflict with each other. Since most of the input information is not known accurately, selecting the right suppliers becomes more difficult. Grey theory is one of the new mathematical methods used to analyze systems with uncertain and incomplete info...

Grey relational analysis (GRA) is a vital instrument suitable for optimal selection which can be used for modelling, forecasting and decision making. Grey theory gives reliable solution of systems in which the model is poor with little or incomplete information. This paper aims to use GRA for solving Multi Criteria Robot Selection Problems (MCRSPs). In this paper, GRA steps are implemented usin...

Grey systems and interval valued fuzzy sets appear to be similar concepts. This abstract provides a brief introduction to grey systems and compares them to interval valued fuzzy sets. We argue that grey system is similar to an interval fuzzy set, but has different properties. Grey systems focus on the interval range of the system property itself, but interval fuzzy sets consider the fuzzy membe...

The grey model GM(1,1) based on the grey system theory has recently emerged as a powerful tool for short term load forecasting (STLF) problem. Since GM(1,1) is only first order dynamic grey model, the accuracy is not satisfactory when original data show great randomness. In this paper, we proposed improved dynamic mode GM(2,1) to enhance forecasted accuracy. Then it is applied to improve STLF p...

Energy consumption prediction is an important issue for governments, energy sector investors, and other related corporations. Although there are several prediction techniques, selection of the most appropriate technique is of vital importance. As for the approximate nonhomogeneous exponential data sequence often emerging in the energy system, a novel grey NGM(1,1, k) self-memory coupling predic...

Inevitably, reading is one of the requirements to be undergone. To improve the performance and quality, someone needs to have something new every day. It will suggest you to have more inspirations, then. However, the needs of inspirations will make you searching for some sources. Even from the other people experience, internet, and many books. Books and internet are the recommended media to hel...