The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, a novel approach is presented to solve the problems of dynamic data mining(DM) such as low effectiveness, high randomness and hard implementation. With the extension of the concept data mining process, the evolutionary and immune characteristics in dynamic mining are first illustrated respectively, based on the facts of the relationship between data mining tasks and the global optimization...
According to a recent report by research firm ABI Research, location-based social networks could reach revenues as high as $13.3 billion by 2014. Social Networks like Foursquare and Gowalla are in a dead heat in the Location War. But, having said that it is important to understand for privacy and security reasons, most of the people on social networking sites like Twitter are unwilling to specify...
This paper develops a supplier evaluation approach based on the analytic network process (ANP) and fuzzy synthetic evaluation under a fuzzy environment. The importance weights of various criteria are considered as linguistic variables. These linguistic ratings can be expressed in triangular fuzzy numbers by using the fuzzy extent analysis. Fuzzy synthetic evaluation is used to select a supplier alternative...
Agility is the inevitable trend of supply chain and management. Agile supply chain forces the enterprise to adapt to the unpredictable market demand, takes the fast restructuring of dynamic alliance as the basic point, promotes the cooperation and the production mode between enterprises, and enhances enterprise's integrated management and economic efficiency. As a key component of the supply chain...
According to theories of Poisson process, compound Poisson process, fuzzy random and product R&D, the fuzzy random forecasting problems on capacity and successful time of enterprise product R&D have been studied, a series of fuzzy random forecasting formulas have been obtained, theories and methods have been put forward to the study of capacity and statistical rule of enterprise product R&D.
Enterprise distributed research and development (R&D) refers to enterprise R&D activities on common network platform in different regions based on resource optimization and resource sharing in an enterprise or among enterprises. Enterprise distributed R&D network is an organic system in which network nodes connect each other. It can increase success rate of R&D activities. Main nodes...
In this paper, the index weight is definite based on entropy weight method and subjective assignment method, combining the fuzzy comprehensive evaluation, the financial position of the company is evaluated for the operators, investors and provides basis for decision-making such stakeholders.
Efficient performance evaluation on reverse supply chain (RSC) is the basis of optimizing RSC. In this paper, an integral performance evaluation index system is designed based on BSC and RSC structure characteristics, including a set of finance, customer, internal business process, learning and developing. Then the triangular fuzzy number AHP is applied creatively to evaluate the comprehensive RSC...
Supply chain flexibility assessment (SCFA) has been considered as a major determinant of competitiveness in world class manufacturing. The environmental issues as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today's research studies. To achieve competitive edge, companies must align...
This work is concerned with the fuzzy clustering problem of different products in k variant catalogs, each of size r products that maximize customer satisfaction level in customer relationship management (CRM). The satisfaction degree of each customer is defined as a function of his/her needed product number that exists in catalog and also his/her priority. To determine the priority level of each...
In practice, in purchasing decision-making, many quantitative and qualitative factors, with vagueness and imprecision, have to be considered. This makes the decision process very complicated and unstructured. Fuzzy sets theory is one of the methods used to deal with uncertain information. In this paper, a new approach based on fuzzy sets group decision is proposed to deal with the supplier selection...
Supplier evaluation and selection is one of the most critical activities of purchasing management in a supply chain. On the regular basis, managers constantly evaluate quality characteristics of suppliers' products and make decisions to select preferred suppliers. Fuzzy quality data commonly exists in the reality world. Under this fuzzy environment, we propose a quality-based supplier evaluation based...
This paper presents a hybrid multi-criteria/fuzzy method for the selection of the carrier among a number of pre-selected logistic service providers. The method was developed and applied to the case of a multinational company in the power-electronic market. Finally, an automated system supporting the decisional process was designed to support users.
This paper suggests using FCM to investigate the problem of credit risk evaluation of listed companies by referring to some domestic and abroad researches of fuzzy cognitive map and credit risk. Firstly, the present research status of FCM is briefly introduced. Then, this paper completely studies the basis theory and inner inference mechanism of FCM, and the Active Hebbian Learning (AHL) algorithms...
Product identity (PI) can form the continuity of enterprise products, and is of positive significance to the brand image. In this paper the fuzzy ISODATA clustering method is introduced to explore the way to establish product identity system based on the existing products of a company. An experimental study of financial equipments was conducted to evaluate the practicability of this method. First,...
To identify the best alternative in multicriteria decision-making problems, a multicriteria fuzzy decision-making method based on the weighted correlation coefficient of interval-valued intuitionistic fuzzy sets (IVIFSs) is established in which criterion values for alternatives are IVIFSs and the criterion weights are known information. With the definition of ideal and anti-ideal weighted correlation...
Knowledge sharing, which is one of the most important factors of knowledge management, plays more and more crucial role in the process of the enterprise development. The topic of how to encourage the knowledge workers to deeply share their knowledge is the direction of knowledge management field. This paper developed a model of measuring employee knowledge-sharing performance base on the theories...
How to effectively prevent and to avoid security risks and promote the healthy development of the security business are the most important security issues facing the investment guarantee company. In this paper, fuzzy comprehensive evaluation method to create a credit guarantee risk assessment model, the risk of a security company for the quantitative analysis, so as to achieve the purpose of risk...
The variety and complexity of virus harm cause there is few practical evaluation methods currently. The paper first presents harms' definition and classification of the virus. Then representative first-level and second-level evaluation indexes are proposed. However, as these evaluation factors could hardly be assigned with definite values and somewhat have fuzziness, the paper constructs a fuzzy evaluation...
Proceed from the commerce view, a perfect combination of port and e-commerce is the new breakthrough point that would make port income creating. This paper makes e-commerce thoughts and technologies applied for the traditional port transaction, excavates the value on the base of the port e-commerce platform, studies the profit model of the port e-commerce platform on the aspects of competition structure,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.