作者机构：
[Li, Yanhui; Lei, Chao; Liu, Bailing] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Zeng, Bing] S China Univ Technol, Sch Software Engn, Guangzhou 510006, Guangdong, Peoples R China.
通讯机构：
[Zeng, Bing] S;S China Univ Technol, Sch Software Engn, Guangzhou 510006, Guangdong, Peoples R China.
关键词：
automated trust negotiation;mobile commerce;negotiation strategy;Petri net
摘要：
Automated trust negotiation (ATN) offers an attractive means for trust establishments, which establishes mutual trust among strangers wishing to share resources or conduct business, but it comes at the cost of non-trivial computation and communication overheads. The deployment of ATN strategies on a resource-constrained mobile device may lead to user-obstructive latency for operations. In this paper, we propose a trust negotiation strategy called trust target Petri nets negotiation strategy (TPNNS). It highly reduces the negotiation latency in the mobile device compared with other negotiation strategies, since it considers all the alternative responses at each step and chooses the best one. TPNNS supports cycle avoidance and employs skipped TPN which is a new approach presented in this paper. What is more, it is complete and ensures no irrelevant credentials are disclosed during the trust negotiation.
作者机构：
[Zhang Dabin] College of Mathematics and Information, South China Agricultural University;[Ye Jia; Zhou Zhigang] School of Information Management, Central China Normal University;[Luan Yuqi] School Information Management, Central China Normal University
关键词：
fruit fly optimization algorithm;differential evolution;optimization;global optimization
摘要：
In order to overcome the problem of low convergence precision and easily relapsing into local extremum in fruit fly optimization algorithm (FOA), this paper adds the idea of differential evolution to fruit fly optimization algorithm so as to optimizing and a algorithm of fruit fly optimization based on differential evolution is proposed (FOADE). Adding the operating of mutation, crossover and selection of differential evolution to FOA after each iteration, which can jump out local extremum and continue to optimize. Compared to FOA, the experimental results show that FOADE has the advantages of better global searching ability, faster convergence and more precise convergence.
作者机构：
[朱克毓; 梁昌勇; 杨善林] The MOE Key Laboratory of Process Optimization and Intelligent Decision-making, School of Management, Hefei University of Technology, Hefei, China;[朱克毓] Anhui Engineering Technology Research Center for Key Technologies and Equipment of IOT of Highway Trafic, Hefei, China;[董庆兴] School of Information Management, Central China Normal University, Wuhan, China
通讯机构：
School of Information Management, Central China Normal University, Wuhan, China
作者机构：
[Xiao Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.;[Xiao Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Xiao Yi] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China.;[Fu Julei] Natl Univ Def Technol, Changsha 410073, Hunan, Peoples R China.;[Lai Kin Keung] City Univ Hong Kong, Dept Management Sci, Hong Kong, Hong Kong, Peoples R China.
会议名称：
1st International Conference on Forecasting Economic and Financial Systems (FEFS) / 5th International Workshop on Singular Spectrum Analysis and its Applications (SSA)
会议时间：
MAY 17-20, 2012
会议地点：
Beijing, PEOPLES R CHINA
会议主办单位：
[Xiao Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.^[Xiao Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.^[Xiao Yi] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China.^[Fu Julei] Natl Univ Def Technol, Changsha 410073, Hunan, Peoples R China.^[Lai Kin Keung] City Univ Hong Kong, Dept Management Sci, Hong Kong, Hong Kong, Peoples R China.
关键词：
Analog complexing;container throughput forecasting;discrete particle swarm optimization;transfer forecasting model
摘要：
Accurate forecast of future container throughput of a port is very important for its construction, upgrading, and operation management. This study proposes a transfer forecasting model guided by discrete particle swarm optimization algorithm (TF-DPSO). It firstly transfers some related time series in source domain to assist in modeling the target time series by transfer learning technique, and then constructs the forecasting model by a pattern matching method called analog complexing. Finally, the discrete particle swarm optimization algorithm is introduced to find the optimal match between the two important parameters in TF-DPSO. The container throughput time series of two important ports in China, Shanghai Port and Ningbo Port are used for empirical analysis, and the results show the effectiveness of the proposed model.
作者机构：
[Xiao Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Xiao Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.;[Liu John] City Univ Hong Kong, Ctr Transport Trade & Financial Studies, Hong Kong, Hong Kong, Peoples R China.;[Wang Shouyang] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China.
通讯机构：
[Liu John] C;City Univ Hong Kong, Ctr Transport Trade & Financial Studies, Hong Kong, Hong Kong, Peoples R China.
会议名称：
1st International Conference on Forecasting Economic and Financial Systems (FEFS) / 5th International Workshop on Singular Spectrum Analysis and its Applications (SSA)
会议时间：
MAY 17-20, 2012
会议地点：
Beijing, PEOPLES R CHINA
会议主办单位：
[Xiao Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.^[Xiao Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.^[Liu John] City Univ Hong Kong, Ctr Transport Trade & Financial Studies, Hong Kong, Hong Kong, Peoples R China.^[Wang Shouyang] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China.
摘要：
The financial market volatility forecasting is regarded as a challenging task because of irregularity, high fluctuation, and noise. In this study, a multiscale ensemble forecasting model is proposed. The original financial series are decomposed firstly different scale components (i.e., approximation and details) using the maximum overlap discrete wavelet transform (MODWT). The approximation is predicted by a hybrid forecasting model that combines autoregressive integrated moving average (ARIMA) with feedforward neural network (FNN). ARIMA model is used to generate a linear forecast, and then FNN is developed as a tool for nonlinear pattern recognition to correct the estimation error in ARIMA forecast. Moreover, details are predicted by Elman neural networks. Three weekly exchange rates data are collected to establish and validate the forecasting model. Empirical results demonstrate consistent better performance of the proposed approach.
期刊：
Journal of Systems Science and Systems Engineering,2014年23(3):362-374 ISSN：1004-3756
通讯作者：
Dong, Qingxing
作者机构：
[Dong, Qingxing] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Saaty, Thomas L.] Univ Pittsburgh, Pittsburgh, PA 15260 USA.
通讯机构：
[Dong, Qingxing] C;Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
关键词：
Group decision making;Analytic Hierarchy Process (AHP);consensus;judgment updating
摘要：
In group decision making, a certain degree of consensus is necessary to derive a meaningful and valid outcome. This paper proposes a consensus reaching model for a group by using the Analytic Hierarchy Process (AHP). It supports people to improve their group consensus level through an updating of their judgments. In this model, a moderator suggests the most discordant decision maker to update his judgment in each step. The proposed consensus reaching model allows decision makers to accept or reject the suggestion from the moderator. This model ensures that the judgment updating is effective and the final solution will be of acceptable consistency. Finally, a numerical example is given to illustrate the validity of the proposed consensus reaching model.
作者机构：
[刘向] School of Information Management, Central China Normal University, Wuhan 430079, China;[刘向; 王晓光; 马费成] Center for Studies of Information Resources, Wuhan University, Wuhan 430072, China
通讯机构：
School of Information Management, Central China Normal University, China
作者机构：
[邓鹤; 童名文; 魏艳涛] College of Information Technology, Journalism and Communications, Central China Normal University, Wuhan 430079, China;[瞿少成] College of Physics Science and Technology, Central China Normal University, Wuhan 430079, China
通讯机构：
College of Information Technology, Journalism and Communications, Central China Normal University, China
作者机构：
[马费成; 刘向] Center for Studies of Information Resources, Wuhan University, Wuhan 430072, China;[刘向] School of Information Management, Huazhong Normal University, Wuhan 430079, China
通讯机构：
Center for Studies of Information Resources, Wuhan University, China
