In this work an alternative method of in-core sensor validation is outlined. Instead of using direct sensor readings, it is based on neuro-fuzzy modeling of residuals between the experimental values and their theoreti...
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ISBN:
(纸本)9789814417730
In this work an alternative method of in-core sensor validation is outlined. Instead of using direct sensor readings, it is based on neuro-fuzzy modeling of residuals between the experimental values and their theoretical counterparts obtained from reactor core simulator calculations. Throughout the fuel cycle, the neural networks are subject to the incremental training on data prior to the current monitoring period. While for thermocouples the method shows very good sensitivity, for self powered neutron detectors the results are not satisfactory. The purpose of this paper is to present the newest results from considerably long time effort in development of this computational intelligence based approach.
We investigate residuated lattices as structures with dualities. We formulated the Principle of Duality for residuated lattice which divides basic properties of this structure into two groups of dual ones.
ISBN:
(纸本)9789814417730
We investigate residuated lattices as structures with dualities. We formulated the Principle of Duality for residuated lattice which divides basic properties of this structure into two groups of dual ones.
Forecast accuracy of economic and financial processes is a popular measure for quantifying the risk in multi-criteria decision making. In this paper, we develop forecasting models based on the statistical (stochastic)...
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ISBN:
(纸本)9789814417730
Forecast accuracy of economic and financial processes is a popular measure for quantifying the risk in multi-criteria decision making. In this paper, we develop forecasting models based on the statistical (stochastic) methods, sometimes called as hard computing, and on the soft methods using granular computing. To illustrate the forecasting performance of these approaches the learning aspects of RBF networks are presented and an application is included. We show a new approach of function estimation for nonlinear time series model by means of a granular fuzzy logic neural network based on Gaussian activation function with cloud concept. In a comparative study is shown that the presented approach is able to model and predict the high frequency data with reasonable accuracy and more efficient than the statistical methods.
This paper proposes an integrated scheme for identifying segmented degraded numeral characters in gray images. The scheme consists of distinguishing foreground from background, wiping off mottles, cutting margins, cal...
ISBN:
(纸本)9789814417730
This paper proposes an integrated scheme for identifying segmented degraded numeral characters in gray images. The scheme consists of distinguishing foreground from background, wiping off mottles, cutting margins, calculating features, and recognizing numerals by the classifier established based on the measure of medium truth degree and several features selected by logistic regression. The experimental results show that the proposed approach performs well on recognition of degraded numeral characters.
Environmental pollution accident is an eternal phenomenon in the process of human social activities. Phenomenon of the public spreading often appears after environmental pollution accident and before the government an...
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ISBN:
(纸本)9789814417730
Environmental pollution accident is an eternal phenomenon in the process of human social activities. Phenomenon of the public spreading often appears after environmental pollution accident and before the government announces the formal environmental conclusion. It will easily result in distorted information and especially magnified harm. This paper establishes an individual assessment model of the public spreading in the Environmental pollution accident based on fuzzy comprehensive evaluation method and a numerical example shows the application of this model.
This paper reports the application of fuzzy set theory for water quality assessment of Wulihu Lake, China. Methodology with ranking feature value (RFV) which transforms fuzzy combination vector into assessment level i...
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ISBN:
(纸本)9789814417730
This paper reports the application of fuzzy set theory for water quality assessment of Wulihu Lake, China. Methodology with ranking feature value (RFV) which transforms fuzzy combination vector into assessment level is used to express the quality of water in the environment of monitored data. The results show that the proposed method gives the certainty water quality levels. The water quality level of Wulihu Lake grew better because of ecological projects. This study could provide a scientific basis for analyzing and evaluating the water quality for environment management.
Recommender systems (RS) have been successfully used in different personalization issues. One of the most interesting applications is tourism (hotels, restaurants, monuments, etc.) where users can obtain personalized ...
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ISBN:
(纸本)9789814417730
Recommender systems (RS) have been successfully used in different personalization issues. One of the most interesting applications is tourism (hotels, restaurants, monuments, etc.) where users can obtain personalized recommendations according to their profiles. Recently, the increasing use of mobile devices drives RSs to a new trend based on context-awareness. In this contribution we take advantage of mobile devices in RSs and propose a location-aware RS for tourism that provides recommendations to users not only based on their profile but also taking into account their current location.
The need of organizations to evaluate their environmental practices is increasing, but there are many possibilities to do it. In this contribution an aggregation procedure is proposed to evaluate company's environ...
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ISBN:
(纸本)9789814417730
The need of organizations to evaluate their environmental practices is increasing, but there are many possibilities to do it. In this contribution an aggregation procedure is proposed to evaluate company's environmental practices. This proposal integrates quantitative and qualitative information. Since the assumption of independence among criteria is rarely verified in an environmental context, the Choquet integral is proposed as aggregation operator. The final aim is to compute partial and global indicators that can be used by the management team to make their decisions regarding the environmental issues.
Ben-Israel and Iyigun ([1] and [2]) presents a new clustering method which is probabilistic distance clustering (P-D Clustering). In this method, the probability of assignment to cluster for each point is inversely pr...
ISBN:
(纸本)9789814417730
Ben-Israel and Iyigun ([1] and [2]) presents a new clustering method which is probabilistic distance clustering (P-D Clustering). In this method, the probability of assignment to cluster for each point is inversely proportional to distances between data point and centers of clusters according to given number of clusters and their centers. In this paper, we study on new uncertainty measure for classification using the assignment probabilities of P-D Clustering. Moreover, the relationship of the new measure with Kullback - Liebner divergence is discussed.
Non-Destructive Testing (NDT) techniques are affected by concrete properties such as porosity, water content, strength, etc. Extracting one concrete property from one NDT measurement may lead to considerable uncertain...
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ISBN:
(纸本)9789814417730
Non-Destructive Testing (NDT) techniques are affected by concrete properties such as porosity, water content, strength, etc. Extracting one concrete property from one NDT measurement may lead to considerable uncertainties. This highlights the benefit of NDT data fusion to evaluate accurately concrete properties. In this paper, NDT measurements from several NDT techniques were combined to predict more accurately concrete properties such as porosity and water saturation. Two techniques of data fusion were used namely neuro-fuzzy network and theory of possibility. The results obtained show the effectiveness of the statistical modelling to predict the properties of concretes by fusion of NDT measurements.
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