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.
Links in Challenged Networks, particularly in Delay Tolerance Networks, are mostly disconnected due to the mobility, fallibility and scarcity of nodes. Owing to its intermittent connectivity, there exists substantive uncertainty, in which fuzziness and randomness are the most important and fundamental. In this paper, in virtue of the relationship analysis between fuzziness and randomness, we discuss...
In machine learning classification, the classifier can be described by some rules, and the rules can be expressed by fuzzy granules corresponding to fuzzy concepts. In this paper we will introduce fuzzy information granulation to the process of building fuzzy classifier. Furthermore, we will present an optimized information granulation based machine learning classification algorithm. Experiments carried...
By analyzing the related theory and methods commonly used by the current retailing enterprises, the main basis and influencing factors of commodity procurement under the supply chain environment can be affirmed. As well, classification of the commodity can be carried out according to 8 factors, such as price, delivering cycle, storage life, purchase quantity, sale quantity, transportation cost, seasonality...
In this paper, it is shown that the sendograph metric is neither homogenous nor translation invariant. The basic properties of the sendograph metric under algebraic operations, as well as the continuity of the operations are discussed.
Based on the static factor analysis of innovation for a master's degree thesis database, a innovation evaluation method is employed to build the factor set, evaluation set, weight sets and fuzzy evaluation model using analytic hierarchy process and fuzzy synthesis evaluation method. The innovation of a master's degree thesis database is evaluated, and the effectiveness of this method is demonstrated...
In this paper, we consider the fuzzy linear regression model proposed by Kim et al. and construct empirical likelihood ratio statistics of unknown parameters. Under suitable conditions, we prove that the statistics converges in distribution to χ2(p+1). Using these results, we can construct the confidence region of unknown parameters.
Evaluation of groundwater environment carrying capacity is a multi-objective, multi-criteria and multi-level comprehensive issue. Evaluation index system of groundwater environment carrying capacity was built and divided into some subsystems in accordance with each index's inherent stratification link. Every index's effect on carrying capacity system was obtained by normalization operations catastrophe-based,...
In this paper an information entropy assessment measure of supply chain system risk and a decision-making method based on combined fuzzy weight and entropy weight in which the input of score matrix are triangular fuzzy numbers are proposed. The individual's intuitive attitude toward risk is just reflected by the fuzzy weight measure of risk. An index system under supply chain risks is established...
Risk assessment is the base of software project risk management. According to risk assessment's objective and correlative literatures analysis, the risk assessment's criterion system is established in the paper. Then fuzzy linguistic multiple attribute decision making method is utilized to assess software project risk. The method estimates risk criteria values using linguistic terms based on triangular...
Network anomaly detection is a classically difficult research topic in intrusion detection. However, existing research has been solely focused on the detection algorithm. An important issue that has not been well studied so far is the selection of normal training data for network anomaly detection algorithm, which is highly related to the detection performance and computational complexity. Based on...
The safe early-warning system for roof spatial latticed structure of Wuhan Natatorium is composed of sensing subsystem, database and administration subsystem and safe early-warning identification subsystem, which is automatic operation by system integration technique. According to the characteristics and service environment of roof spatial latticed structure of Wuhan Natatorium, the two key techniques...
In this paper, we explore the solution of functional equations I(x,T(y,z)) = T(I(x,y),I(x,z)) and I(x,y) = I(N(y),N(x)) satisfied simultaneously, where T is a strict t-norm, I a fuzzy implication and N a strong negation. Under the assumptions of I continuous except the points (0, 0) and (1, 1), we get the full characterizations of the solutions for this functional equations.
Maintenance plays an important role in keeping the availability of civilian and military equipments at a satisfactory level. The issue, which decision maker is most concerned about, is how to keep the availability at a satisfactory level with less maintenance cost. In this study, we propose a simulation-optimization approach to spare parts allocation based on decision-maker's satisfaction. Firstly,...
Based on the static factor analysis of engineering for a master's degree thesis database, the fuzzy synthesis evaluation method is employed to set up the factor set, evaluation set, weight sets and fuzzy evaluation model. And engineering of a master's degree thesis database is evaluated, and the effectiveness of this method is demonstrated with applicable examples.
This paper first gives a new validity function for fuzzy clustering, then presents a method of the optimal selecting of the cluster number in the standard fuzzy c-means clustering algorithm, and finally outlines the fuzzy c-means clustering algorithm with parameters self-adapted. Experimental results carried on synthetic data set and data set based on actual background illustrate the performance of...
This paper presents an efficient algorithm for distribution system restoration based on fuzzy data mining. The computation time can be decreased greatly by dividing the computation into two parts: one is the part of off-line calculation, in which by using the historical FTU measured records ,the selecting rules of optimal disconnection switches in all loops existed in distributed networks are calculated...
Knowledge sharing is the basic means to improve the efficiency of supply chain management (SCM). Ontology is the basis of sharing and reusing knowledge on the semantic Web. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. In order to handle fuzzy phenomenon and uncertainty of knowledge in SCM, this paper proposes a series of fuzzy ontology models using intuitionistic...
This paper addresses an effective issue of content-based image retrieval (CBIR) by presenting fuzzy Hamming distance (FHD). Firstly, the theory of FHD is introduced, which includes degree of difference and cardinality of the fuzzy set, and then follows defuzzification of FHD which is used as a fuzzy similarity measure. In the experiment, the image retrieval results show this method can be employed...
The distribution of power supply limiting in multi-zone is discussed by means of combining analytical hierarchy process and fuzzy sets theory. From the greatest factors in power limiting distribution, guide line system and hierarchy structure are established. Also, the relative membership degree functions are determined. A novel multi-objective group decision model is suggested by introducing a compromise...
According to the law of agriculture production, we put forward a superiority evaluation-quota-system of different plots, and build the plot-superiority-evaluation model based on multi-objective system-fuzzy-optimization theory. Several cases on evaluation of competition superiority to agriculture plot are presented to show the difference of each agriculture plot in competition superiority, and provide...
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.