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Considering the importance of network for technological innovation, this paper takes a new view on technological innovation capability (TIC) and develops TIC indicator system, moreover, it setups a framework for the TIC evaluation in companies. With works on the innovation process and innovation success and failure experiences, it highlights the importance of network for the achievement of technological...
Firstly, the Khinchine law of large numbers based on the rough fuzzy samples is given. Secondly, based on the rough fuzzy samples, some concepts such as rough fuzzy expected risk functional, rough fuzzy empirical risk functional and rough fuzzy empirical risk minimization principle are proposed. Finally, the key theorem of learning theory based on the rough fuzzy sample is proved.
Grade estimation is one of the most complicated aspects in mining. Its complexity originates from scientific uncertainty. In this paper, a fuzzy wavelet neural network (FWNN) is proposed for grade estimation. This fuzzy neural network uses wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability. The new FWNN method...
Route plan decision making of road is of great important in the road design and later construction. For the traditional route selection methods can not meet the requirements of road construction, the paper aimed at the characteristics of route selection in the plain area to construct route selection decision making index system, which integrated qualitative and quantitative decision making indexes...
In credibility theory, variance is usually used as a measure of the variation of a possibility distribution about the expected value. Since the variance is defined via nonlinear fuzzy integral, its computation is difficult for general fuzzy variables. To avoid this difficulty, this paper defines the spread of a fuzzy variable based on Lebesgue-Stieltjes (L-S) integral. Our approach is to find an "average...
Combining the human visual system with the image local properties, this paper proposes a novel watermarking algorithm based on ridgelet transform and fuzzy c-means (FCM) clustering. In order to obtain a sparse representation of the image, especially for straight edge singularity, the image is first partitioned into small pieces and the ridgelet transform is applied for each piece. The image pieces...
An image fusion system using a fuzzy biorthogonal wavelet transform technique is proposed and justified in this paper. The basic fuzzy sets are defined on the low-high, high-low, and high-high spatial frequency bands at different scales of biorthogonal wavelet transform on the visible light images and infrared images. The simulation results demonstrate the effectiveness of the fusion scheme in this...
Decision-making information often has uncertainty because of inaccurate estimate and survey error. This causes the quantification of information to appear in the form of intervals. To solve the multiple attribute decision-making issues of interval number, a new method based on fuzzy theory is put forward. On the basis of this method, different schemes of the water resources allocation in a certain...
Detection and quantification of dental plaque is very crucial to both patients and their clinicians. However, traditional dental plaque indices used to measure the dental plaque are subjective, semi-quantitative because the measurements rely primarily on the clinician's ability to demarcate or score areas of disclosed plaque using visual examination. To overcome the shortcomings of traditional indices,...
Electric power reserve is an important instrument to ensure power system to operate safely and steadily, and proper value evaluation can provide scientific gist for power grid to confirm certain reserve level from both technical and economic way. Value of electric power reserve is incarnated in its economic value and social benefit. But the social benefit is hard to be measured with market price or...
There are lots of categorical valued and mixed numeric and categorical valued data in the practical application, and the traditional clustering methods can't analyses this kind of data very well. Aiming at the clustering of the mixed valued data, and a advanced kernel k-aggregate clustering algorithm is presented by combining the clustering analysis with kernel-based method. In this algorithm, the...
Investigating resident's perception of tourism impact is a good method to analyze the status of tourism impact. Due to the underlying correlation among several impacts indices, tourism impacts are generally very complex to model. Various methods such as single-variable and statistics used in previous authoritative studies are not sensitive enough which may cause the decision-making process adversely...
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