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In web pages, the reviews are written in natural language and are unstructured-free-texts scheme. Online product reviews is considered as a significant informative resource which is useful for both potential customers and product manufacturers. The task of manually scanning through large amounts of review one by one is computational burden and is not practically implemented with respect to businesses...
Blog clustering is an important approach of web public opinion analysis. In this paper, an integrated graph-based approach for representing and clustering Chinese blogs by embedded sentiment is proposed. Graph-based representation and relevant clustering algorithm are applied. This graph-based blogs representation model considers not only sentiment words but also some structural information. Experimental...
With respect to the subjective and nonlinear factors inherent in the importance identification of a fault tree analysis (FTA), a new importance measure of FTA is proposed based upon possibilistic information entropy. After investigating the possibilistic information semantics, measure-theoretic terms and entropy-like models, a two-dimensional framework is constructed by combining both the set theory...
Aiming at fuzziness of water-saving irrigation technology evaluation and the independence and incompatibility of each single index, a entropy-weight based fuzzy matter-element model for paddy field water-saving irrigation technology optimization was established based on the combination of fuzzy matter-element and the entropy theory in paddy field water-saving irrigation technology evaluation in the...
Currently more and more people are suffering from ever-increasing unexpected e-mails (named spam), as well as the virus and worms introduced by spam. A lot of researchers and studies have focused on spam filtering. In this paper, we firstly present a new anti-spam technique, which include a users' active feedback mechanism, and Maximum entropy based spam filtering approach. Secondly we propose a prototype...
In this paper, in order to overcome the deficiencies of Polana's method and fuzzy alternation entropy method, we presented a technique of image segmentation that integrates these both into a system. The experiment results show that our method is robust and effective.
Feature selection is a process which chooses a subset from the original feature set according to some rules. The selected feature retains original physical meaning and provides a better understanding for the data and learning process. However, few modern feature selection approaches take the advantage of features' context information. Based on this analysis, we propose a novel feature selection method...
Optimization model of nuclear emergency decision-making proposal is discussed in nuclear accident. Optimizing alternative nuclear emergency proposals is a multi-objective decision-making system. On the basis of establishing a hierarchic structure, an optimization model is developed by introducing fuzzy entropy weight and TOPSIS. The indexes' combined weights are calculated by both the entropy method...
A new fuzzy multi-objective decision-making model based on vague set theory and entropy method is presented in this paper. In the proposed model, the alternative schemes are weighted evaluation according to the integrated vague value of its elements relative to the ideal scheme. In order to calculate attributes weights objectively and accurately, a modified entropy weights calculation formula is proposed...
Cluster analysis is widely used in the genetic researches, especially in phylogeny analysis. However, it is time-consuming to infer the evolutionary dendrogram from large biological data. Thus, in this paper, single nucleotide polymorphisms (SNPs), which can characterize the genetic variations, are mined from the genetic sequences to reduce the dimensions of original data in phylogeny analysis. The...
To remain competitive in the market, decision makers (DMs) have to regularly measure and evaluate the process performance of organizations. In this study, performance of a manufacturing company pertaining to 10 manufacturing job shops was measured and evaluated by utilizing a new Multiple Criteria Decision Making methodology (MCDM). This new methodology consists of combined Fuzzy TOPSIS (Technique...
Traditional machine learning and data mining algorithms mainly assume that the training and test data must be in the same feature space and follow the same distribution. However, in real applications, these two hypotheses are difficult to hold, traditional algorithms are hence no longer applicable. As a new framework of learning, transfer learning could solve this problem effectively. This paper focuses...
Feature selection is a crucial step in the supervised learning process. Traditional feature selection methods based on mutual information cannot directly handle the feature set with hybrid continuous and categorical features, and cannot dynamically eliminate the redundant features in the feature selection process. Resort to mutual information, a hybrid feature selection method named PGFB is proposed...
In order to evaluate water resources capacity, a new assessment model based on cloud theory is proposed. Considering the fuzzy and stochastic feature in assessment, the new model can realize greatly the conversion from qualitative conception to quantitative model. Take the new model into evaluation of water resources carrying capacity. Evaluation model based on cloud theory can not only show the fuzzy...
Water resources carrying capacity (WRCC) is an index, which reflects the supporting ability of the water resources system for sustainable society development. And it is the foundational measurement of water resources security, also it is a complex system which involves social-economic system, water resources system and ecological environment system. Pointing to the problems on vague concept about...
In this paper, we introduce the concepts of IV-similarity measure and IV-entropy of interval valued fuzzy sets, investigate the relationship between the IV-similarity measure and the IV-entropy of interval valued fuzzy sets in detail, prove three theorems that the IV-similarity measure and the IV-entropy of interval valued fuzzy sets can be transformed by each other based on their axiomatic definitions...
Customers are resources of the enterprises' profits, Customer satisfaction degree is defined as a measure of how a firm's product or service performs compared to customer's expectations. With the market developing quickly, how to improve the customers' satisfaction degree has become the main task and object for one company. It has been a subject of research due to its importance for measuring marketing...
This article set up a surface water quality fuzzy evaluation model, information entropy is used to determine weight of each factor of effect water quality, and then fuzzy comprehensive assessment is developed to evaluate Luanhe downstream surface water environment. The results showed that the method solved weight distribution problem better, and more reasonable and reliable conclusions are made by...
A generalised fuzzy approach to statistical modelling techniques for pattern recognition is proposed in this paper. Fuzzy C-means (FCM) and fuzzy entropy (FE) techniques are combined into a generalised fuzzy technique and applied to third-order two-dimensional hidden Markov mode(2-D HMM). 2-D HMM is an extension of 1-D HMM to 2-D, it provides a reasonable statistical method to model matrix data. By...
Computed tomography (CT) and nuclear magnetic resonance imaging (MRI) are complementary on reflecting human body information. In order to provide more useful information for clinical diagnosis, we have a need to fuse the effective information. In the pixel-level fusion between the medical images, we presented a Mamdani-type minimum-sum-mean of maximum (MIN-SUM-MOM) algorithm in this paper. In MIN-SUM-MOM...
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