فهرست مطالب
Iranian journal of fuzzy systems
Volume:5 Issue: 1, 2008
- تاریخ انتشار: 1387/05/11
- تعداد عناوین: 6
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Page 1Here we consider the p-center problem on different types of fuzzy networks. In particular, we are interested with the networks with interval and triangular fuzzy arc lengths and vertex-weights. A methodology to obtain the best satisfaction level of the decision maker who wishes to reduce the cost within the tolerance limits is proposed. Illustrative examples are provided.
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Page 27In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. Performance of the proposed method in terms of mean square error, signal to noise ratio is compared with neural network. Our results show that this method is a simple and powerful means for the extraction of FECG.
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Page 47In this paper, a common fixed point theorem for -weakly commuting maps in L-fuzzy metric spaces is proved.
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Page 55In this paper, we establish the theory of fuzzy ideal convergence on completely distributive lattices and give characterizations of some topological notions. We also study fuzzy limit structures and discuss the relationship between fuzzy co-topologies and fuzzy limit structures.
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Page 65In this note by considering the notion of intuitionistic fuzzy (weak)dual hyper K-ideal, we obtain some related results. Then we give some classi-fications about this notion according to the level sets. After that we determine the relationships between intuitionistic fuzzy (weak) dual hyper K-ideals and intuitionistic fuzzy (weak) hyper K-ideals. Finally by considering the notion of the product of two intuitionistic fuzzy (weak) dual hyper K-ideals we give Decomposition Theorems.
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Page 79Here we consider the p-center problem on different types of fuzzy networks. In particular, we are interested with the networks with interval and triangular fuzzy arc lengths and vertex-weights. A methodology to obtain the best satisfaction level of the decision maker who wishes to reduce the cost within the tolerance limits is proposed. Illustrative examples are provided.