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This paper presents the text clustering algorithm of the cluster intelligent optimization that uses cluster intelligent optimization algorithms to find the initial focal point to resolve the input sequences of fuzzy clustering and the initial point of sensitive issues; and use the improved fuzzy clustering algorithm to eliminate the sample text is not balance and refine clustering results. The experimental...
The gyro stabilized platform control is required to isolate the line of sight (LOS) from the disturbance and vibration of carrier and ensure pointing and tracking for target in electro-optical tracking system. A compound adaptive fuzzy PID control with hysteresis-band switching is developed for this servo system with nonlinear property and some uncertainties. Here, in the adaptive fuzzy controller,...
To promote the technology development of the security in coal mine areas, an intelligent belt breakage protector was introduced, and a method of the prediction of belt breakage based on fuzzy neural network was presented in the paper. This algorithm combinates the fuzzy theory and neural network. Fuzzy theory was applied in data pre-processing, and neural network was applied in prediction. The method...
The following topics are dealt with :intelligent system; soft computing; signal processing; biomedical application; image processing; fuzzy theory; fuzzy logic; control and modelling; and evolutionary computing.
Kim et al. proposed a new fuzzy linear regression model. When the order of model is 1, they obtained the least squares estimate of the parameters and proved its consistency and asymptotic normality. In this paper, we consider the fuzzy least squares estimate of the parameters of the multivariate fuzzy linear regression model and its asymptotic character.
In this paper, we have we have introduced a new intelligent soft-computing method of neutrosophic search with ranks and a new neutrosophic rank sets for neutrosophic relational data model (NRDM). Essentially the data and documents on the Web are heterogeneous; inconsistency is unavoidable in Web mining. Using the presentation and reasoning method of our data model, it is easier to capture imperfect...
Because of the convenience of computation, the processing of the precise number beliefs in the evidential reasoning has been widely researched. However, many beliefs especially provided by human are always vague, such as linguistic beliefs and interval beliefs. To solve the combination problem of such beliefs with uncertainty, this paper proposed the concept of fuzzy belief and its combination rules...
Because of the superiority on processing the uncertain information and fuzzy information, the uncertainty mathematical theory has been widely applied in fault diagnosis of complex system. In this paper, first, the combination of basic uncertainty mathematics theory and support vector machine (SVM) and its application in fault diagnosis are introduced in detail. Then, some of the key technologies are...
Fuzzy set theory, which is used to deal with imprecise probability by computer. In the article, the fuzzy set theory applied to EMS, and study on fuzzy database selection to make fuzzy problems of the system more precise, identify the expression of fuzzy words and fuzzy membership functions, construct fuzzy selection, and to achieve a fuzzy selection.
LLF(Least Laxity First) is one of classic dynamic real-time task scheduling algorithms. Considering the unsteadiness and unpredictability of a practical task running environment due to the unsteadiness of network communication and the time estimation deviation, it is necessary to introduce fuzzy concept and theory to the scheduling field of embedded soft real-time application systems.. In this paper,...
In this expository paper we discuss some applications of paraconsistent annotated logics. They have the capability of manipulating concepts like fuzziness, inconsistency, and paracompleteness in a non-trivial manner. Such systems are new and they were discovered recently at the end of last century.
Experts often turn to fault trees when trying to quantify the risk of electrostatic discharges. The fuzzy fault tree yields not only an estimation for the risk, but through examining the membership function of the top event, information on the accuracy of the result can be gained. Usually triangle-shaped membership functions are used, and the calculation is only performed for the three characteristic...
In this paper, a novel fuzzy support vector machine based image watermarking scheme is proposed.Since the application of support vector machine in the process of watermarking technology is only a simple classification of the image. However,the fuzzy support vector machines by selecting the appropriate degree of membership to reflect the different importance of the different sample points. In this...
As an effective tool for the analysis of internet glance behavior, Markov chain prediction method has an optimistic future in the applications such as internet intrusion detection, information security evaluation, etc.. However, it is usually difficult to get satisfactory results due to the small quantity of the state partition while dealing with actual problems. Applying the concept of fuzzy transition...
In this paper, by two relations belong to (∈) and quasi-coincidence ( q ) between fuzzy points and fuzzy sets, the notions of (α,β) -fuzzy filters, the level filters in effect algebras are introduced where α, β are any two of {∈,q,∈,νq,∈,∧,q} with α ≠∈∧q. Their properties are discussed, some theorems which determine the relationship between these (α,β) -fuzzy filters and its level filters are stated...
This paper gives the concepts of L-fuzzy filter and L-fuzzy ideal of lattice implication algebra, discusses their properties and points out their relationships.
The present paper deals with the problems of fuzzy controllers design. The controllers are components of control systems for various controlled objects. The analysis of design methods influencing efficiency of solving various compromise problems related to minimization of hardware complicity of fuzzy digital controllers and ensuring the desired quality coefficients of the control systems is given...
As an important nature of subjective trust, uncertainty should be preserved and exhibited in trust definition, representation and inference. In view of the problems in existing mechanisms based on random mathematics and fuzzy set theory, this paper designs a trust inference mechanism based on cloud model theory. We define trust and trust level in form of cloud. Then we propose new measure for formalized...
In order to get more reasonable weight of expert in fuzzy multi-attribute group decision making, a new method for determining the objective weight of expert is proposed based on the subjective weights. The method simultaneously considers the order difference and the data difference of the alternatives in the decision results between each expert and group, and takes them as the similarity index of...
This paper studied the Fuzzy-PID control strategy for AC arc furnace electrode regulator system. Based on the classical PID control, this paper used the basic theories and methods of Fuzzy Mathematics to adjust the PID parameters, realized the Fuzzy-PID control strategy, applied it in electrode regulator system and then made the simulation. The simulation results showed that the control strategy of...
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