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Business risk identification is one of the most important components in business risk management. In this study, a knowledge ensemble methodology is proposed to design an intelligent business risk identification system, which is composed of two procedures. First of all, some data mining and knowledge discovery algorithms are used to explore the implied knowledge about business risk hidden in the business...
A key issue of quantitative investment (QI) product design is how to select representative features for stock prediction. However, existing stock prediction models adopt feature selection algorithms that rely on correlation analysis. This paper is the first to apply observational data-based causal analysis to stock prediction. Causalities represent direct influences between various stock features...
In this paper, we use a group decision-making (GDM) approach based on the variable precision rough set (VPRS) model to evaluate partner relationship in the value network of a mobile portal. We extend the existing study on VPRS-based GDM where the optimal betak-stable interval is derived for DMk [1]. Firstly, in the value network of a mobile portal, VPRS-based GDM is used to evaluate relationship between...
In this paper, we propose a new continuous time model with price and time sensitive demand to consider dynamic pricing, order cancellation ration and different quality of service(QoS) levels in Web networks. Then, we present a solution procedure to determine the optimal number of selling stages, the optimal price and service capacity. Finally, a numerical example is presented to illustrate the proposed...
In this paper, we explore an application of fuzzy similar relation (FSR) to variable precision rough set (VPRS) model for fuzzy multi-objective linear programming (FMOLP) in service provider (SP) selection of mobile operators. First, we describe the problem of FMOLP for SP selection, where the attribute value of SPs is transformed into a relative membership. Next, we define an FSR, based on which...
Usually, expected return and risk are two fundamental factors which investors consider. In some cases, investors may consider other factors such as liquidity. The turnover rates of securities can be used to measure their liquidity. Considering trapezoidal possibility distribution as the possibility distribution of the turnover rates on the securities, we propose an optimization model for portfolio...
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has recently fascinated many researchers. In this paper, we consider a meta-heuristic of scatter search to solve the attribute reduction problem in rough set theory. The proposed method, called scatter search attribute reduction...
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has recently fascinated many researchers. In this paper, we consider a meta-heuristic of scatter search to solve the attribute reduction problem in rough set theory. The proposed method, called scatter search attribute reduction...
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