{"title":"Information Risk Evaluation and Application: Based on Set Pair Analysis","authors":"Jinlou Zhao, Hongyu Gao, Junhui Cheng","doi":"10.1109/CSO.2014.65","DOIUrl":"https://doi.org/10.1109/CSO.2014.65","url":null,"abstract":"The control of the information risk is an important task in the business administration, the information risk seriously affect the efficiency of the supply chain. This paper puts forward a model based on set pair analysis about information risk evaluation. This model can not only divide the extent of the information risk, but describe the trend of the information risk. It could describe the information risk from static and dynamic.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122020068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of the Induction and Dependence Relationship between Foreign Final Demand and China's Output","authors":"Pei Xiao, Hao Xiao","doi":"10.1109/CSO.2014.83","DOIUrl":"https://doi.org/10.1109/CSO.2014.83","url":null,"abstract":"In order to study the relationship between the foreign final demand and China's output, this paper develops the induction coefficient and dependence degree based on the inter-regional input-output model, and calculates them using the world input-output table with seven regions, i.e. EU, US, China, Japan, South Korea, other East Asia countries and rest of the world from 1995 to 2011. The results show that: final demand from the US and the EU contribute most to China's output. China's output has larger dependence degree on foreign consumption demand of other countries while smaller dependence degree on foreign investment. However, the former has trend of decline while the later is on the rise.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116928949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Volatility Spillover Effects between Gold and Stocks Based on VAR-DCC-BVGARCH Model","authors":"Xunfa Lu, Jiawei Wang, K. Lai","doi":"10.1109/CSO.2014.60","DOIUrl":"https://doi.org/10.1109/CSO.2014.60","url":null,"abstract":"To measure the volatility spillover effects between gold market and stock market, a VAR-DCC-BVGARCH model is utilized to analyze the relationship of both. The bivariate GARCH model (BVGARCH), employed to simultaneously capture the conditional volatilities of both assets and the dynamic conditional correlation model, used to estimate their time-varying conditional correlation are combined. Empirical results show that the volatility spillover effects of both gold and stocks persist in the long run. Especially, the spillover effects from gold prices to stock prices are more obvious. Furthermore, the time-varying correlation between two assets is also found and is more significant as the volatilities of gold prices increase. These results can help investors to better manage risks and returns of the portfolio including both assets.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123207567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the Cost Estimating of China's Aviation Aircraft Development Project Based on the Parametric Method","authors":"Zhang Haifeng, J. Haiyan, Xin Nuonuo, Wang Fali","doi":"10.1109/CSO.2014.70","DOIUrl":"https://doi.org/10.1109/CSO.2014.70","url":null,"abstract":"The modern aircraft development work has so more significant characteristics, such as the more complex product structure, the longer development cycle, the higher risks and poor reproducibility, that the cost estimating of development project is difficult. Based on the Parametric Cost Estimating method, analyzing the influencing factors of aircraft development project costs, using the correlation analysis to determine the key influencing factors of project costs and establish the cost impact factor model. And on this basis, using multiple nonlinear regression analysis method to establish the aircraft development project cost estimation model. Finally, the recommendations of using the Parametric Cost Estimating method to estimate the cost of China's aviation aircraft development project are given from the three aspects of enterprise, development institution and government.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124823680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interval-Valued Induced Averaging Aggregation Operator and Its Application in Group Decision Making with Intuitionistic Fuzzy Information","authors":"Sujit Das, Megha Rani, T. Pal, S. Kar","doi":"10.1109/CSO.2014.64","DOIUrl":"https://doi.org/10.1109/CSO.2014.64","url":null,"abstract":"Yager and Filev (1999) introduced induced ordered weighted averaging (IOWA) operator which is a generalized version of ordered weighted averaging (OWA) operator. In IOWA operator, the ordering of the arguments is induced by a variable, called the order inducing variable. This paper introduces interval-valued inducing variable which is a general form of inducing variable. This paper also proposes an aggregation operator called induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator using the sub-interval of membership function and interval-valued inducing variable. Then we present an algorithmic approach to show the applicability of the proposed operator in multiple attribute group decision making (MAGDM) problems. Finally the algorithm has been illustrated through a case study.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129914229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Price Transmission Effect of Coal and Electricity Linkage: A Partial Transmission Input-Output Analysis","authors":"Chenlong Mu, Shu Liu, Chen Cheng","doi":"10.1109/CSO.2014.74","DOIUrl":"https://doi.org/10.1109/CSO.2014.74","url":null,"abstract":"Coal and electricity linkage reform has a significant impact on the whole price level in China. In order to analysis the price transmission effect, this paper firstly introduces a CTC (cost transmission capacity) input-output price model, use 2005, 2007 and 2010 China input-output tables and the main product price index from 2005 to 2011 to estimates the cost transmission capacity of 39 industries. And then designs 2 stages of simulation scenarios to compare the effect when the price of coal and electricity is linkage or not. The results show that the coal price shocks exert greater impact to energy resources sectors and their downstream industries such as oil and gas extraction than other industries, and the rising of GDP deflator is more significant than that of PPI.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124557740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Hybrid Fuzzy Multi-criteria Group Decision Making and Statistical Method for Scientific Journal Evaluation","authors":"Zongmin Li, Siwei Zhao","doi":"10.1109/CSO.2014.131","DOIUrl":"https://doi.org/10.1109/CSO.2014.131","url":null,"abstract":"This paper argues that objective and subjective evaluation should be applied simultaneously to evaluate scientific journal. Moreover, the evaluation is often made by groups and inevitably contains evaluators' subjective judgments. Accordingly, this paper develops a hybrid fuzzy multi-criteria group evaluation and statistics method which considers objective and subjective evaluations, i.e., bibliometric measures and peer review opinions simultaneously. A model is established to achieve maximum group consensus. To determine the criteria weights, this paper applies an intuitionistic fuzzy weighted averaging operator and to obtain the evaluator weights, a fuzzy distance-based method is used. Thereafter, this paper uses TOPSIS method to aggregate the objective and subjective ratings. Finally, a practical case study is presented.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116687047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integration of Batch Weighted Method with Classifiers Combination to Solve Financial Distress Prediction Concept Drift","authors":"Peng Chen, Jie Sun","doi":"10.1109/CSO.2014.103","DOIUrl":"https://doi.org/10.1109/CSO.2014.103","url":null,"abstract":"With the economy developing, effective financial distress prediction methods of artificial intelligence have got more and more attention of the academia. Concept drift in a data flow is another hot research topic. This paper firstly introduces several kinds of existing batch weighted methods for financial distress prediction modeling, and analyzes their shortages. To find a solution to deal with them, we proposed a new batch weighted method base on classifier combination, which applies different classification algorithms respectively in batch weighting and classifier modeling, and output the financial distress prediction result by weighted voting combination of multiple classifiers. Empirical experiment is carried out with the financial data selected from Chinese listed companies, and the proposed method is proved to be effective.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126587027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Designing the Expert Systems for Senior Managers' Performance Evaluation","authors":"Xude Gui, Jing Xiao, Jinlong Zhang, Yukun Bao","doi":"10.1109/CSO.2014.117","DOIUrl":"https://doi.org/10.1109/CSO.2014.117","url":null,"abstract":"Viewing the role of senior managers in organizations, the human resource managers suffer from the lack of hands-on tools for the performance evaluation of senior managers. This study reports the design of expert systems for senior managers' performance evaluation. Different from the normal information systems for employee performance appraisal, several modular components for this special case are designed under the guidelines of designing expert systems in previous literature.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122365890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Game Analysis of the Supply Chain Co-op Advertising Based on the Advertising Efforts and Price Discount","authors":"Xi Liao, Lihong He, Mengmeng Liu","doi":"10.1109/CSO.2014.86","DOIUrl":"https://doi.org/10.1109/CSO.2014.86","url":null,"abstract":"The focus of this paper is supply chain co-op advertising based on advertising efforts and price discount. Through comparing three non-cooperative games: M-R Stackelberg, R-M Stackelberg and Nash equilibrium model, our study provides an understanding of co-op advertising efforts strategy. We obtain optimal equilibrium for both co-op advertising strategies and manufacturer's price discount policies while analyzing the strategic impact of co-op advertising. Finally the results show that both the manufacturer and retailer would like to choose Stackelberg rather than Nash equilibrium to maximize their profits. Besides, we also find that under M-R Srackelberg game, there is a negative correlation between the manufacturer's participation rate and the marginal profits of both the manufacturer and the retailer, which is different from the previous conclusion.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130634576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}