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Aiming at the knowledge mining from fuzzy and uncertain information, the definition mode and properties of the fuzzy formal context are discussed in the paper. The method of constructing the fuzzy concept lattice of the fuzzy formal context is proposed, in that the definition of fuzzy product concept is the core: the intents of two concepts are combined to form the intent of the product concept; using...
Ant-based techniques are designed to take biological inspirations on the behavior of these social insects. Data clustering techniques are classification algorithms that have a wide range of applications, from Biology to Image processing and Data presentation. Since real life ants do perform clustering and sorting of objects among their many activities, we expect that a study of ant colonies can provide...
The inhabited environments are MIMO, uncertainly, and nonlinear complex systems. This paper presents a novel intelligent fuzzy agent(IFA) based on input-output associational algorithm for intelligent inhabited environments. An input-output dynamic associational algorithm based on Hebb learning is proposed, which can divide a complex system into multiple simple systems and eliminate the irrelevant...
This paper propose a biometric personal identification method based on a pair of right and left sole pressure distribution change. We acquire the sole pressure distribution change by load distribution sensor and use it for a personal identification. We employ twelve features based on shape of footprint, and twenty seven features based on movement of weight during walking for each sole pressure data...
Applying estimation of distribution algorithms (EDAs) to solve continuous problems is a significant and challenging task in the field of evolutionary computation. So far, various continuous EDAs have been developed based on different probability models. Initially, the EDAs based on a single Gaussian probability model are widely used but they have trouble in solving multimodal problems. Later EDAs...
In order to improve the efficiency of database management and intelligence of database record classification, a classification method of network database record based on fuzzy theory is proposed in this paper. Firstly, an automatic classification frame of database is constructed, and then standard record model and special data record and new record model on fuzzy set are given. By calculating the...
The study of multi-objective optimization has matured to a level where uncertainty is considered when comparing and evaluating solutions for any given problem. This paper reviews the current techniques that have been proposed to include uncertainty within a multi-objective framework. Probabilistic as well as fuzzy methods are reviewed. A new method to identify sample representative solutions from...
The existing infrastructure of modern civilization is based on some utility services, which are on pay per user basis. As for example, the utility services like water, gas, electricity etc are chargeable per user. Similarly, the agenda of cloud computing is to provide on demand IT resources on pay per user basis. These IT resources consist of different Web services. Accessing and scheduling of these...
On the basis of most steady state structure of rigid bodies in physical theory, this paper regards data set as physical object, and proposes a dummy digital substantiation viewpoint and some conceptions such as representative data five element groups and model restraint. Then, the algorithm of elasticity based four-point center and borderline (EFCBA) and the algorithm of based on mutual restrict fuzzy...
This paper proposes a new method for selecting input variables in short-term electric load forecasting models. It is known that input and output variables do not follow the Gaussian distribution in load forecasting. In this paper, a hybrid method of graphical modeling (GM) and deterministic annealing EM (DAEM) clustering is presented to clarify causal relationship between the explained one-step-ahead...
We present an overview of fuzzy research according to the results found in the ISI Web of knowledge. Among the different ways and particular results to be used, we have selected the most cited articles, the top authors, the top journals, the evolution by years, and the top countries. Note that the results given in the paper are only a general overview because the rankings can be developed in different...
As the rapid increase of network security events, network security monitoring and management on network behavior become more and more focused in the fields of computer science. This paper develops a kind of fuzzy constraint correlation algorithm based on prerequisites and consequences of security event. The introduction of fuzzy constraint correlation can resolve the issues of false negatives and...
Due to the rapid increasing of system users, it is becoming a tiresome task for the administrator to assign roles and maintain permissions in traditional RBAC model. In order to simplify the administrator's work and standardize security strategy, human's fuzzy decision-making capability is required. In this paper, an optimized RBAC model based on fuzzy theory is proposed. Bitmap matrix is used for...
Clustering is most often used method for noticing data groupings. With an increase of a number of sets for testing there came the development of numerous techniques which are based on different criteria and prior knowledge on the corpus. This work presents the summary of elementary fuzzy partition clustering techniques and their application in searching through information.
The advantages of U-shaped lines, such as improving productivity and quality, are very well known in industry. In many factories, traditional straight assembly line configurations were switched to U-shaped layouts in the past few years. U-shape line balancing problem (ULBP) is received more and more people attention. In this paper, an effective heuristic is proposed for solving type 1 of the fuzzy...
A novel score function is presented by taking into account the expectation of the hesitancy degree of interval-valued intuitionistic fuzzy sets (IVIFSs). And a deviation function is defined considering the variance of the hesitancy degree of IVIFSs. A new method for ranking interval-valued intuitionistic fuzzy numbers is then established based on the score function and deviation function. The proposed...
The text puts forward improved fuzzy relation composition: weighted fuzzy relation composition, then discusses and analyses its application in fuzzy synthetic evaluation.
Breast cancer is the second most common cancer worldwide and the fifth most common cause of cancer death. There are many prognostic factors associated with breast cancer which are usually considered when determining how cancer will affect a patient. In addition, distinct molecular subtypes of breast tumors have been described by gene expression profiling. In this work we integrate information from...
The task of sequential pattern mining is useful for various applications, including market analysis, decision support, and business management. One important issue is to discover frequent sequential patterns in a sequence database. And most of the previous works have focus on the order of times. However, the time interval between successive items in patterns is seldom discussed before. With the order...
The problem of fuzzy pattern recognition based on eigenvector is often met with in computer measurement and control system. Both the object to be identified and the standard pattern stored in the database have a certain degree of uncertainty because errors are inevitable in the process of eigenvector extraction. The problem of fuzzy pattern recognition can be turned into the problem of calculating...
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