Now showing items 1-10 of 100
Grey Self-memory Combined Model for Complex Equipment Cost Estimation
(Research Information Ltd., 2017-01)
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 ...
Using grey Holt-Winters model to predict the air quality index for cties in China
The randomness, non-stationarity and irregularity of air quality index series bring the di fficulty of air quality index forecasting. To enhance forecast accuracy, a novel model combining grey accumulated generating technique ...
Irregularity-based image regions saliency identiﬁcation and evaluation
Saliency or Salient regions extraction 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 ...
The sphereical distance for intuitionistic fuzzy sets and its application in decision analysis
(Taylor and Francis, 2016)
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 ...
An uncertain programming model for preventive maintenance scheduling
Purpose: This study aims to illustrate an uncertain programming model for scheduling of preventive maintenance actions. The PM scheduling, in which PM actions are performed under fixed intervals, is solved by Grey systems ...
Explanation of terms of grey incidence analysis 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 ...
A summary of the progress in grey system research
Forecasting China's energy demand and self-sufﬁciency rate by grey forecasting model and Markov model
This paper applies novel models to forecast the developing trends of China’s energy production and consumption under the influence of China’s energy saving policy. An optimized single variable discrete grey forecasting ...
Proximity and Similitude of Sequences Based on Grey Relational Analysis
(Research Information Ltd, 2014)
Time series analysis, the most popular method, is facing some challenges, including small sample, non-stable relation, stochastic distribution constraint, and so on. Grey relational analysis can supply some new ideas for ...