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Aiming at the optimal scheduling problem of byproduct gas system in steel industry, a knowledge and mathematical programming-based optimal scheduling method is proposed in this study. On one hand, a fuzzy model is designed to extract the expert scheduling knowledge from the historical data of the industrial process. And then, a great deal of scheduling knowledge is employed to compose a fuzzy rules...
Web surfing has become an important activity for many consumers. We propose a web recommender that models user behavior by constructing a know ledge base using temporal web access patterns as input. We apply fuzzy logic to represent real-life temp oral concepts and requested resources of periodic pattern-based web access activities. Th e fuzzy representation is used to construct a know ledge base...
The purpose of this paper is to give a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. At first the concept of fuzzy Datalog will be summarized, then its extensions for intuitionistic- and interval-valued fuzzy logic is given and the concept of bipolar fuzzy Datalog is introduced. Based on these ideas the concept of multivalued knowledge-base...
Fault diagnosis in digital hardware using AI techniques is good domain for basic and applied research. An intelligent frame work for fault detection and isolation in Philips 89v52 RD2 microcontroller based system is discussed in this paper. The main feature includes intelligent diagnostic assessment and effective management of the testing process using fuzzy approaches. Fuzzy modeling is used to derive...
How to realize the cognitive capability is a key point to realize the cognitive wireless network. The research of cognitive wireless network is still at the primary stage, even not having a unique, accepted network architecture and implementation method. The construction of knowledge base in cognitive wireless network based on network situation-aware in the paper is deeply investigated in unfixed...
The method was studied about traffic flow prediction by using subtractive clustering for fuzzy neural network model of phase-space reconstruction. The prediction model of traffic flow must be established to satisfy the intelligent need of high precision through analyzing problems of the existing predicting methods in chaos traffic flow time series and the demand of uncertain traffic system. Based...
In this paper, we present the very first algorithm for answering expressive fuzzy conjunctive queries, which allow the occurrence of both lower bound and the upper bound of threshold in a query atom, over the relative expressive fuzzy DL, f-ALC. The algorithm we suggest here can easily be adapted to existing (and future) DL implementations. We distinguish the queries into two categories, the ground...
Information retrieve is one of the most important operations in computer information systems. This paper presents a kind of fuzzy information retrieve method based on soft computing (SCFIR for short). SCFIR adopts fuzzy clustering analysis and artificial neural networks to organize databases in systems so as to increase the efficiency of fuzzy retrieve. At the same time, SCFIR realizes the understanding...
The development and integration of sensor technology for herring roe grading is described. In this application, by and large, grading is presently done by hand. Shape, firmness/texture, color and weight all play key roles in determining the grade of a roe skein. Furthermore, number of these variables are quite subjective both in the way they are determined by human graders, and in the way they affect...
Interviews with portfolio managers suggests that a stock market forecasting support system should have a general model, which the users can refine to match their personal needs and beliefs The model should offer interactive problem solving and justification of its conclusion, and be able to process expert knowledge which is typically uncertain and vague. Fuzzy logic is capable of storing uncertain...
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