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Li L.,Hunan University of Finance and Economics
Research Journal of Applied Sciences, Engineering and Technology | Year: 2015

The object of this study is to study the Bayes estimation of the unknown shape parameter of Minimax distribution. The prior distribution used here is the non-informative quasi-prior of the parameter. Bayes estimators are derived under squared error loss function and three asymmetric loss functions, which are the LINEX loss, precaution loss and entropy loss functions. Monte Carlo simulations are performed to compare the performances of these Bayes estimates under different situations. Finally, we summarize the result and give the conclusion of this study. © Maxwell Scientific Organization, 2015. Source

Fan G.,Hunan University of Finance and Economics
Research Journal of Applied Sciences, Engineering and Technology | Year: 2015

The inverse Rayleigh distribution plays an important role in life test and reliability domain. The aim of this article is study the Bayes estimation of parameter of inverse Rayleigh distribution. Bayes estimators are obtained under squared error loss, LINEX loss and entropy loss functions on the basis of quasi-prior distribution. Comparisons in terms of risks with the estimators of parameter under three loss functions are also studied. Finally, a numerical example is used to illustrate the results. © Maxwell Scientific Organization, 2015. Source

Fu S.,Hunan University of Finance and Economics
Journal of Software Engineering | Year: 2016

For grey stochastic multi-criteria decision-making problem with criterion value as extended grey number, the study proposes grey stochastic multi-criteria decision-making approach based on Hausdorff distance. First, it provides definition and operation ruleof extended grey number stochastic variable and expectation, then obtains expectation decision matrix about grey number based on grey decision matrix and natural state probability. Second, the study calculates distance between the various solutions and positive and negative ideal solutions, respectively by combining weight vector of various criteria and ultimately determines the relative closeness degree and sorts the solution based on the value. Finally, through information system evaluation, the study results verify feasibility and effectiveness of the proposed method. © 2016 Sha Fu. Source

Zhu S.,Hunan University of Finance and Economics
The Scientific World Journal | Year: 2014

We present a new approach to automatically recognize the pain expression from video sequences, which categorize pain as 4 levels: "no pain," "slight pain," "moderate pain," and " severe pain." First of all, facial velocity information, which is used to characterize pain, is determined using optical flow technique. Then visual words based on facial velocity are used to represent pain expression using bag of words. Final pLSA model is used for pain expression recognition, in order to improve the recognition accuracy, the class label information was used for the learning of the pLSA model. Experiments were performed on a pain expression dataset built by ourselves to test and evaluate the proposed method, the experiment results show that the average recognition accuracy is over 92%, which validates its effectiveness. © 2014 Shaoping Zhu. Source

Yan H.-Y.,Hunan University of Finance and Economics
Procedia Engineering | Year: 2011

The construction project bid evaluation is a typical multi-objective decision-making problem. Considering the content of the construction project bid evaluation, an appraisal index system of the construction project bid evaluation was established; The reasonable range of index values which can reflect the tenderer preference was utilized to perform standardization of evaluation indicators; The optimal grey relational grades for bidder were determined by gray relational model, and the optimal decision-making conclusion for bid evaluation was made after comparison of the optimal grey relational grades. The model had the advantages of complementary of theory and experience, strong operability and scientific quantify, therefore popularized the grey correlation model application in construction project. © 2011 Published by Elsevier Ltd. Source

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