Predicting Model of Container Throughput of Fujian Province Based on Grey Model

2013 ◽  
Vol 401-403 ◽  
pp. 2179-2182
Author(s):  
Fu Xing Li ◽  
Qiao Jing Liu ◽  
Cai Ping Chen
Keyword(s):  
Decision Making ◽  
Development Strategy ◽  
Least Square Method ◽  
Least Square ◽  
Grey Model ◽  
Important Work ◽  
Fujian Province ◽  
Predicting Model ◽  
Port Development

Port container throughput forecast is an important work for wharf project which is an important part of the port development strategy. In this paper, we introduce the optimized grey model and least square method of grey model. Furthermore, we make a forecast for the container throughput by using least square method of grey model and the result can offer the decision-making bases for relevant department.

scholarly journals Calculation and realization of new method grey residual error correction model

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254154
Author(s):  
Lifang Xiao ◽  
Xiangyang Chen ◽  
Hao Wang
Keyword(s):  
Prediction Model ◽  
Least Square Method ◽  
Residual Error ◽  
Least Square ◽  
Grey Model ◽  
Grey Prediction ◽  
Grey Prediction Model ◽  
True Value ◽  
Prediction Function ◽  
Fitting Method

Aiming at the problem of prediction accuracy of stochastic volatility series, this paper proposes a method to optimize the grey model(GM(1,1)) from the perspective of residual error. In this study, a new fitting method is firstly used, which combines the wavelet function basis and the least square method to fit the residual data of the true value and the predicted value of the grey model(GM(1,1)). The residual prediction function is constructed by using the fitting method. Then, the prediction function of the grey model(GM(1,1)) is modified by the residual prediction function. Finally, an example of the wavelet residual-corrected grey prediction model (WGM) is obtained. The test results show that the fitting accuracy of the wavelet residual-corrected grey prediction model has irreplaceable advantages.

Study on Ship Form Technical and Economic Evaluation DS Based on Interactive MCDM

2006 ◽  
Author(s):  
Sang Song ◽  
Li-Hua Jun
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Accurate Result ◽  
Multiple Criteria Decision Making ◽  
Least Square Method ◽  
Least Square ◽  
New Method ◽  
Decision Systems ◽  
Complex Decision ◽  
Hierarchy Process

A new method of interactive Multiple Criteria Decision Making (MCDM) is presented. In order to settle the problem that in the cases for the ship designers sometimes it is difficult to make a decision when facing so complex ship form schemes. The conventional AHP (Analytical Hierarchy Process) is adopted, but it mostly depends on the designer’s subjective and leads to the systematic error. The new method can obtain the accurate result with the rigid least square method as a tool, making full use of the AHP and the objective information entropy, which reflects the inherent attribute. When applied in the practice, it is proved to be effective, practical and dependable for future ships’ complex Decision Systems (DS).

A Hybrid Multiple Criteria Decision Making Technique for Prioritizing Equipments

2010 ◽  
Vol 1 (4) ◽  
pp. 56-75 ◽  
Author(s):  
Sarojini Jajimoggala ◽  
V.V.S. Kesava Rao ◽  
Satyanarayana Beela
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Least Square Method ◽  
Multiple Criteria ◽  
Least Square ◽  
Evaluation Procedures ◽  
Reliability Centered Maintenance ◽  
Network Process ◽  
Order Preference ◽  
Pair Wise Comparison

Prioritization of equipment is an important factor for decision making to optimize maintenance management in Reliability Centered Maintenance (RCM). Many factors must be considered as part of the prioritization of equipment for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among conflicting tangible and intangible factors. Multiple Criteria Decision Making (MCDM) is a useful approach to solve these problems. In this study, a hybrid model is developed for prioritizing the equipment in hybrid flow systems. The first stage involves identifying the criteria. The second stage is prioritizing the different criteria using fuzzy Analytical Network Process (ANP), in which the weight of each criterion is calculated using modified fuzzy Logarithmic Least Square Method (LLSM) to overcome the criticism of inconsistency, unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process, then finally ranking of equipment using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).

A Hybrid Multiple Criteria Decision Making Technique for Prioritizing Equipments

2012 ◽  
pp. 256-275
Author(s):  
Sarojini Jajimoggala ◽  
V. V. S. Kesava Rao ◽  
Satyanarayana Beela
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Least Square Method ◽  
Multiple Criteria ◽  
Least Square ◽  
Evaluation Procedures ◽  
Reliability Centered Maintenance ◽  
Network Process ◽  
Order Preference ◽  
Pair Wise Comparison

Prioritization of equipment is an important factor for decision making to optimize maintenance management in Reliability Centered Maintenance (RCM). Many factors must be considered as part of the prioritization of equipment for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among conflicting tangible and intangible factors. Multiple Criteria Decision Making (MCDM) is a useful approach to solve these problems. In this study, a hybrid model is developed for prioritizing the equipment in hybrid flow systems. The first stage involves identifying the criteria. The second stage is prioritizing the different criteria using fuzzy Analytical Network Process (ANP), in which the weight of each criterion is calculated using modified fuzzy Logarithmic Least Square Method (LLSM) to overcome the criticism of inconsistency, unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process, then finally ranking of equipment using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).

Application of Grey-Markov Model in Predicting Container Throughput of Fujian Province

2013 ◽  
Vol 779-780 ◽  
pp. 720-723
Author(s):  
Cai Ping Chen ◽  
Qiao Jing Liu ◽  
Pan Zheng
Keyword(s):  
System Theory ◽  
Decision Making ◽  
Markov Model ◽  
Grey System Theory ◽  
Grey System ◽  
Important Work ◽  
Fujian Province

Port container throughput forecast is an important work for wharf project which has further influence on the development of ports. In this paper, we simply introduce the grey system theory and the grey markov model. Further more, we make a forecast for the container throughput by using grey markov model and the result can offer the decision-making bases for relevant department.

scholarly journals Research on Bidding Decision-making of International Public-Private Partnership Projects

2018 ◽  
Vol 38 ◽  
pp. 03016
Author(s):  
Zhen Yu Hu ◽  
Shui Bo Zhang ◽  
Xin Yan Liu
Keyword(s):  
Decision Making ◽  
Characteristic Root ◽  
Least Square Method ◽  
Least Square ◽  
Entropy Weight ◽  
Effect Measure ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Index Value ◽  
Decision Making Model

In order to select the optimal quasi-bidding project for an investment enterprise, a bidding decision-making model for international PPP projects was established in this paper. Firstly, the literature frequency statistics method was adopted to screen out the bidding decision-making indexes, and accordingly the bidding decision-making index system for international PPP projects was constructed. Then, the group decision-making characteristic root method, the entropy weight method, and the optimization model based on least square method were used to set the decision-making index weights. The optimal quasi-bidding project was thus determined by calculating the consistent effect measure of each decision-making index value and the comprehensive effect measure of each quasi-bidding project. Finally, the bidding decision-making model for international PPP projects was further illustrated by a hypothetical case. This model can effectively serve as a theoretical foundation and technical support for the bidding decision-making of international PPP projects.

Application and Non-Homogeneous Index Grey Model NIGM(1,1,k)

2010 ◽  
Vol 34-35 ◽  
pp. 148-152
Author(s):  
Zhe Ming He ◽  
You Xin Luo ◽  
Bin Zeng
Keyword(s):  
Deductive Reasoning ◽  
Least Square Method ◽  
Least Square ◽  
Grey Model ◽  
Dispersion Index ◽  
Index Function ◽  
Proposed Model ◽  
Modeling Accuracy ◽  
Application Fields ◽  
Formula Computing

To improve the modeling accuracy of grey model and broaden its application fields, a non-homogeneous index grey model (termed NIGM(1,1,k)) was built, which is based on the non-homogeneous dispersion index function and the formula computing the parameters of grey model NIGM(1,1,k) was proposed through the least square method. The function of the time response sequence of the proposed grey model was solved by taking differential equations as a deductive reasoning tool. The proposed grey NIGM(1,1,k) model has the characteristic of high precision as well as high adaptability. Examples validate the practicability and reliability of the proposed model.

A Multiple Criteria Decision Method for Selecting Maritime Search & Rescue Scheme

2012 ◽  
Vol 229-231 ◽  
pp. 2334-2338 ◽  
Author(s):  
Chuan Fu Guo ◽  
Shan Bin Zhang ◽  
Ying Shuai Jiang
Keyword(s):  
Decision Making ◽  
Least Square Method ◽  
Least Square ◽  
Analytic Hierarchy ◽  
Fuzzy Delphi ◽  
Priority Weights ◽  
Expert’S Opinion ◽  
Judgment Matrix ◽  
Hierarchy Process ◽  
Selection Of

The evaluation and selection of Search And Rescue (SAR) schemes is one of the most important decision issues for maritime SAR. Owing to vague concept frequently represented in decision data, a group fuzzy multi-criteria decision-making approach is proposed to solve the SAR scheme optimal selection problem. In the proposed method, the experts’ opinions are described by trapezoidal fuzzy numbers, and the fuzzy Delphi method is adopted to adjust each expert’s opinion to achieve the consensus condition. By using the logarithmic least square method and trapezoidal fuzzy number arithmetic operations to estimate the normalized fuzzy priority weights, Analytic Hierarchy Process (AHP) is presented and consequently the consistency check of fuzzy judgment matrix is avoided. The results of simulation show that the method is flexible and credible and provides references in intelligent SAR decision-making.

Direct Assessment of Effective Renal Plasma Flow from Renoscintigraphy with a Gamma Camera and an On-Line Computer

1981 ◽  
Vol 20 (06) ◽  
pp. 274-278
Author(s):  
J. Liniecki ◽  
J. Bialobrzeski ◽  
Ewa Mlodkowska ◽  
M. J. Surma
Keyword(s):  
Count Rate ◽  
Renal Plasma Flow ◽  
Early Period ◽  
Least Square Method ◽  
Least Square ◽  
Uptake Coefficient ◽  
Positive Linear Correlation ◽  
On Line ◽  
Best Fit ◽  
Plasma Activity

A concept of a kidney uptake coefficient (UC) of 131I-o-hippurate was developed by analogy from the corresponding kidney clearance of blood plasma in the early period after injection of the hippurate. The UC for each kidney was defined as the count-rate over its ROI at a time shorter than the peak in the renoscintigraphic curve divided by the integral of the count-rate curve over the "blood"-ROI. A procedure for normalization of both curves against each other was also developed. The total kidney clearance of the hippurate was determined from the function of plasma activity concentration vs. time after a single injection; the determinations were made at 5, 10, 15, 20, 30, 45, 60, 75 and 90 min after intravenous administration of 131I-o-hippurate and the best-fit curve was obtained by means of the least-square method. When the UC was related to the absolute value of the clearance a positive linear correlation was found (r = 0.922, ρ > 0.99). Using this regression equation the clearance could be estimated in reverse from the uptake coefficient calculated solely on the basis of the renoscintigraphic curves without blood sampling. The errors of the estimate are compatible with the requirement of a fast appraisal of renal function for purposes of clinical diagknosis.

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