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A fuzzy spatial Petri nets (FSPN) was proposed in order to describe spatial fuzzy knowledge and spatial associated effect between places and transitions. By introducing spatial associated factor, fuzzy Petri nets combined with spatial location was researched in depth to solve uncertainty factor associated with environment area and execute dynamic reasoning. Structure and signification of State associated...
By means of infinite product of uniformly distributed probability spaces of cardinal n the concept of pure truth degrees of propositions in the n-valued R0 logic system is introduced in the present paper. Inference rules of pure truth degrees are obtained. Moreover, similarity degrees among formulas are proposed and a pseudo-metric is defined therefrom on the set of formulas, and hence a possible...
The design and response abilities of time-varying fuzzy systems are discussed. Firstly, based on non-singleton fuzzifier and dynamic fuzzy inference method, the response function of time-varying fuzzy system is obtained. Then, a sufficient and necessary condition for time-varying fuzzy system possessing interpolation property is given. It is proved that time-varying fuzzy systems determined by t-norm...
Among the various approaches to determine the true domain of fuzzy inference rules in the designing of fuzzy controller, the important one is to solve a system of fuzzy relation equations corresponding to the fuzzy inference sentence. In our earlier work, we gave a new method to construct the system and presented a method to solve the system when the system is consistent. But when the system is inconsistent,...
This paper focus on establishing in a unified way metric structures on some MTL-algebras. Let M be one of the R0-algebra, MV -algebra, product algebra and G-algebra, ΩM be the set of all homomorphisms from M into the real unit interval [0; 1], and μ be a probability measure on ΩM. It is proved that these MTL-algebras (R0-algebra, MV -algebra, product algebra and G-algebra) are standardly separable,...
N this paper, we analyze the causal influence between variables and the transference of causal influence in fuzzy cognitive map with the related knowledge of graph theory. The algorithm of basic causal chain is proposed. Finally, an illustrative example is provided, and its results suggest that the method is very effective.
Multisensor image fusion has its effective utilization for surveillance. In this paper, we utilize a fuzzy logic approach to fuse images from different sensors, in order to enhance visualization for surveillance. With the help of fuzzy if-then rules and membership functions designed for the image data set, the fuzzy logic approach can model and combine the images to enhance the contrast of the fused...
Marine cage fish farming has grown dramatically during the last three decades in coastal counties worldwide, however, its adverse environmental impact has already led to growing concerns. The control of carrying capacity is a key problem for cage fish farming. Based on the fish stock and eco-environment survey data in a cage fish farm area and its vicinity in Dapeng Ao Cove, Daya Bay, South China...
For the life data X in a life test, the Bayesian stopping rule and decision rule for the problem of testing fuzzy statistical hypotheses are given in this paper. The loss function of the model is the sum of the cost of the experiment time and the loss due to wrong decision. In the procedure, the Bayesian stopping rule is determined by the optimal terminated time, and the Bayesian decision rule is...
In this paper, an architecture using process inference for process planning in manufacturing process has been developed. This architecture is built based on a knowledge base, a resource database and an automatic reasoning kernel. In the automatic reasoning kernel, the generation process of process plan is analyzed and relevant reasoning rules, as well as reasoning engines are defined based on corresponding...
An object-oriented implementation of an original model of knowledge representation scheme is described in the paper. The model is based on the high-level Fuzzy Petri nets and supports three forms of reasoning: inheritance, recognition and intersection search. The model is suitable for knowledge base and inference machine design in intelligent systems for real-world tasks that deal with fuzzy, vague,...
A grey adaptive-network-based fuzzy inference system (G-ANFIS) is proposed which combines the grey forecasting model (GM (1, 1)) with the ANFIS and is applied to forecasting fund market volatility in China. A range-based measure of ex-post volatility is employed as a proxy for the unobservable volatility process. The empirical results show that for the RMSE, MAE, LL, LINEX and Mincer-Zarnowitz regression...
This study utilizes a fuzzy message requirement classifiers system (FMRCS) that integrates both learning and inference into the learning of the computer troubleshooting ability and adopts a teaching strategy of problem-solving. The main purpose in this study is to guide learners to have the conspicuous direction when they face some computer troubles. Consequently, learners can be based on FMRCS with...
Fuzzy theory is applied in the time-lapse seismic system, considering the fuzziness of exploration data and geological information. A new fuzzy clustering method is introduced; it requires only that the degree of fineness of clustering be set. The method provided valuable information for geological interpretation. And then how high-level of object-oriented concepts can be used to provide a generic,...
A new approach to knowledge acquisition in interval-valued decision information system is proposed. In an interval-valued information system, by using the similarity degree of two different objects, a fuzzy similarity matrix, which generates a tolerance relation with a given level, is constructed. The universe of discourse is classified by the maximal tolerance classes based on the tolerance relation,...
CP-Nets: CP-nets (Condition Preference Nets) is a tool for representing and reasoning with condition ceteris paribus preference statements put forward by Craig Boutilier, but how to represent and realize is not given. In this paper, after introducing some notions and an example of CP-nets, we adopt binary list as a storage structure to represent and store CPTs, and devise an algorithm for ranking...
Really Simple Syndication(RSS) has been widely used in our daily lives, but RSS doesn't always collect interesting articles, user has to sift through every subscription for articles they like. The ranking of unread RSS articles has the potential power to release user from this heavy burden. Although user preferences can be learned from explicit feedbacks such as rating or tagging, implicit feedback...
Recently target detection is widely regarded as a typical hot spot in research of sensor networks. A fast target detection algorithm is proposed by using the hypothesis testing (HT) method in the paper. The objective is to determine whether a target is present in a sensor network for decision-makers. Due to the nature of sensor networks, it is desirable to have a fast algorithm to accomplish the detection...
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