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The huge economic loss and serious social problems are brought to the country by the frequent happening of highway emergency. Therefore, how to avoid and reduce its impact is particularly important. Then, the emergency plan is an important part of the emergency rescue system, and the effective evaluation should be made for the highway emergency plan, which is of great importance to make fast and effective...
Fuzzy comprehensive evaluation (FCE) is a mathematical method of multi-factors decision-making, which is be used to evaluate the effects of factors on objects by application of fuzzy linear transformations.The factors important grades are the key of FCE. In this paper,the design of experiments (DOE) method is applied to determine the fuzzy set of factors important grades instead of the Delphi and...
This paper presents a method to improve the performance of Information Retrieval System (IRS) by increasing the no of relevant documents retrieved. There are several types of uncertainty and fuzziness associated with IRS like search term uncertainty, relevance uncertainty involved in retrieving of irrelevant documents. The aim of this paper is to eliminate different types of uncertainty and increase...
Developing highly interpretable commonly presents significant challenges to decision support system. In previous research work, partial information had provided poor result in the problem of learning classifiers. The behavior of some learning algorithm may only be explored by uncertainty analyses. We propose a novel information extraction by utilizing fuzzy measure in active learning to focus on the...
With the rapid development of the national economy, the growing of power consumption and the increasing of the power peak-valley difference, the construction of Pumped-storage power station has a broad space for development, but there are several risks in the construction, so the study of risk management of Pumped Storage Power Station Construction Project (PSPSCP) has a practical significance. This...
Hash maps are data structures widely used in modern programming languages like Java for their simplicity and efficiency. When fuzzy string search is needed (like in natural language processing) finding an approximate key match in a regular Java HashMap is a trivial task. It usually requires the brute force method of iterating trough the set of keys and use of string metrics methods. Although this...
The rational allocation of human resources for the enterprise development and smooth running plays an important role. To ensure that employees assigned to the most suitable jobs is to guarantee the management decision can be effective execution by subordinates. This model of human resources for constructing evaluation system put forward a kind method of the comprehensive evaluation of the human resource...
A novel algorithm of Electromagnetic Environment (EME) is proposed in this paper. Assessment indices are established based on analysis of factors influenced electromagnetic environment complex. Index weights are acquired by fuzzy comprehensive evaluation method. The grade of complexity is computed based on complex evaluation values according to the grade standard of complexity. Experimental result...
In order to solve the structure problem of product automata, the matrix theory is used in this paper. By introducing Kronecker product, product structure of automata can be translated into matrix product. Applying lattice-fuzzy matrix theory, the concepts of lattice-fuzzy transition matrixes, lattice-valued transformation matrix semigroups, as well as coverings for lattice-valued finite automata are...
Based on GIS data, a new algorithm for generating mountain terrain of predetermined shape is presented in this paper. During geographical analysis, topographic macro-attributes are convenient to grasp the general geography characteristic in huge GIS data, and four topographic macro-attributes are designed as target parameters of predetermined mountain. With the geography relativity, sample regions...
In this paper the grey relational analysis (GRA) are generalized to the interval- valued intuitionistic setting. This method can be used in both the exactly known and partly known criteria weights situation, for the latter case, it is only necessary to solve one linear programming problem. A numerical example finally illustrates the practicality, flexibility and efficiency of our new algorithm.
In an increasingly competitive transport market, railway companies need pay attention to competitive power management based on customer value. In order to provide theoretical guidance for enhancing enterprises competitiveness , the paper studies the capability framework from the view of discerning and satisfying customer demands, and appraises enterprise capability with multilevel fuzzy synthetic...
Aiming at the effective fusion of multi-sensor measurement data unknown statistics, a novel method of multi-sensor data fusion based on fuzzy supported degree is presented. The support degree distance and support degree matrix which meet membership function characteristic of fuzzy set theory, were constructed to extract and use the redundancy and complementary information, so the weight value of measurement...
Study on land ecological safety can help people acquire the states and changes of land ecosystem. It is of great significance to realize the reasonable utilization of land resource. The paper constructed an evaluation index system of land ecological safety based on Pressure-State-Response model. Then the paper combined fuzzy mathematics and matter-element theory to establish an evaluation model of...
We studied a family of fuzzy hyperoperations obtained from a p-fuzzy hypergraph and then we listed some basic properties of them. We used these basic properties to research the FHO-set of any nonempty set. Also we researched a special family of fuzzy hyperoperations.
This papers introduces a new family of iris encoders which use 2-dimensional Haar Wavelet Transform for noise attenuation, and Hilbert Transform to encode the iris texture. In order to prove the usefulness of the newly proposed iris encoding approach, the recognition results obtained by using these new encoders are compared to those obtained using the classical Log-Gabor iris encoder. Twelve tests...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct special classes of fuzzy numbers that will be closed under algebraic and analytic operations on fuzzy numbers. These spaces allow us to solve fuzzy differential equations. We present a general example of a problem which has fuzzy parameters and also fuzzy initial data.
A statistical measurement fusion method based on relation matrix for target tracking is proposed when the measurements from multi-sensor do not follow normal distribution. The algorithm uses variance weighed distance to solve the problem of non-normal distribution and integrated fusion degree of sensors to build the relation matrix where eclipse curve fuzzy technology is adopted nearby threshold....
Regular security assessment should be one of the major steps for every e-commerce system to minimize the number and impact of security breaches. This paper proposes a new assessment model for e-commerce. First of all, we construct a three level assessment architecture based on fuzzy comprehensive judgment of E-commerce. Secondly, entropy weight coefficient is applied to overcome the subjectivity and...
A possibilistic fuzzy c-means (PFCM)[1] has been proposed for clustering unlabeled data. It is a hybridization of possibilistic c-means (PCM) and fuzzy c-means (FCM), therefore it has been shown that PFCM is able to solve the noise sensitivity issue in FCM, and at the same time it helps to avoid coincident clusters problem in PCM with some numerical examples in low-dimensional data sets. In this paper,...
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