Process capability indices are summary statistics to point out the process performance. In the literature, various capability indices are used for this aim. Process accuracy index (C-a) measures the degree of the proc...
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ISBN:
(纸本)9789812799463
Process capability indices are summary statistics to point out the process performance. In the literature, various capability indices are used for this aim. Process accuracy index (C-a) measures the degree of the process centering and gives alerts when the process mean departures from the target value is analyzed when the specification limits and process mean are fuzzy. A theoretical application is illustrated to show the usage of (C) over barC(a).
Electronic shops provide an excellent choice to buy without leaving home. Nevertheless, people frequently have problems to find what they look for because of the wide range of items that e-shops offer. Recommender Sys...
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ISBN:
(纸本)9789812799463
Electronic shops provide an excellent choice to buy without leaving home. Nevertheless, people frequently have problems to find what they look for because of the wide range of items that e-shops offer. Recommender Systems are applications that help people in their searches in e-shops. They deal with information that people provide which is usually related to opinions, tastes and perceptions, and therefore, it is difficult to express them by means of precise numeric scales. Fuzzy linguistic approach provides a better way to express this kind of information. In this contribution we propose a Knowledge Based Recommender System that uses the fuzzy linguistic approach to handle the uncertainty of the human opinions and provides a multigranular context that allows users to utilize the term set that better fits with their degree of knowledge.
The aim of this paper was to evaluation the relationship between annual severe grassland fire disaster and annual burned area. Using the historical data of grassland fire disasters in Northern China from 1991-2006, th...
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ISBN:
(纸本)9789812799463
The aim of this paper was to evaluation the relationship between annual severe grassland fire disaster and annual burned area. Using the historical data of grassland fire disasters in Northern China from 1991-2006, the grassland fire occurrence probability was obtained by applying information diffusion technology, and then the fuzzy relationship between the grassland fire occurrence and burned area was got in the provinces of Northern China by employing information matrix. It can provide an advantageous basis for fire fighting department to make a strategic decision to reduce the severe grassland fire disasters and establish a policy for disaster salvation.
This work deals with image processing based upon non-linear diffusion PDEs (Partial Differential Equations). Some analytic formulation will be introduced to obtain the 3D diffusion tensor, replacing Jacobi's numer...
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ISBN:
(纸本)9789812799463
This work deals with image processing based upon non-linear diffusion PDEs (Partial Differential Equations). Some analytic formulation will be introduced to obtain the 3D diffusion tensor, replacing Jacobi's numerical methods by expressions based on invariants of the symmetric matrix. Later, CED (Coherence Enhancing Filtering) anisotropic filtering properties will be observed and will be combined with isotropic diffusion, providing a type of filtering that allows combining noise removal and local structure preservation. Last, some applications 3D grey-level will be presented.
A new methodology for analysis of periodical time series is proposed. It is based on application of special soft computing techniques: fuzzy transform and percept ion-based logical deduction.
ISBN:
(纸本)9789812799463
A new methodology for analysis of periodical time series is proposed. It is based on application of special soft computing techniques: fuzzy transform and percept ion-based logical deduction.
Searching for similar behavior in previous data plays a key role in fusion research, but can be quite challenging to implement from a practical point of view. This paper describes the design of an intelligent measurem...
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ISBN:
(纸本)9789812799463
Searching for similar behavior in previous data plays a key role in fusion research, but can be quite challenging to implement from a practical point of view. This paper describes the design of an intelligent measurement instrument that uses similar waveform recognition systems (SWRS) to extract knowledge from the signals it acquires. The system is perceived as an Ethernet measurement instrument that permits to acquire several waveforms simultaneously and to identify similar behaviors by searching in previous data using distributed SWRS. The implementation is another example of the advantages that local processing capabilities can provide in data acquisition applications.
A method to get the transitive closure, a transitive opening and a transitive approximation of a reflexive and symmetric fuzzy relation is presented. The method builds at the same time a binary partition tree for the ...
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ISBN:
(纸本)9789812799463
A method to get the transitive closure, a transitive opening and a transitive approximation of a reflexive and symmetric fuzzy relation is presented. The method builds at the same time a binary partition tree for the output similarities.
Training systems based on virtual reality are used in several areas. In these systems the user is immersed into a virtual world to have realistic training through realistic interactions. In such training is important ...
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ISBN:
(纸本)9789812799463
Training systems based on virtual reality are used in several areas. In these systems the user is immersed into a virtual world to have realistic training through realistic interactions. In such training is important to know the quality of user's training. An online assessment system allows the user to improve his/her learning because it can identify, immediately after the training, where he/she committed mistakes. In this paper, we present a new approach to online training assessment based on Gaussian Naive Bayes, a generalization of Naive Bayes Networks, for modeling and classification of simulation in M pre-defined classes.
In this paper we briefly characterize the application of ontologies in multilevel information fusion. Then a scenario of multi-user environment with private ontologies is considered. We propose a social network-based ...
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ISBN:
(纸本)9789812799463
In this paper we briefly characterize the application of ontologies in multilevel information fusion. Then a scenario of multi-user environment with private ontologies is considered. We propose a social network-based ontology alignment scheme which aims to maintain knowledge consistency between communicating users thus ensuring effective collaboration and obtaining consistent results during information fusion tasks.
Decision trees are considered to be one of the most popular data-mining techniques for knowledge discovery. Many approaches based on rough sets theory have been proposed for efficiently constructing decision tree. Thi...
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ISBN:
(纸本)9789812799463
Decision trees are considered to be one of the most popular data-mining techniques for knowledge discovery. Many approaches based on rough sets theory have been proposed for efficiently constructing decision tree. This paper presents a new approach for inducing decision trees by employing entropy and rough sets theory under characteristic relation. Examples show that the decision trees generated by the proposed method tend to have simpler structure than RC4.5.
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