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Based on the fuzzy probability theory of the third kind of fuzzy events, a new multi-objective optimization model of fuzzy probability is developed. And the application procedure of the fuzzy probability model is illuminated in detail. In order to assess index weighted value scientifically, the analytic hierarchy process (AHP) is introduced into the fuzzy weighted values to avoid the uncertainties...
In this paper, we consider a fundamental theoretical question: why cannot regular fuzzy implication operator meeting logical properties construct fuzzy system? Through the appropriate choice of the aggregation operator, the center of gravity fuzzy system (COGFS) based on regular fuzzy implication is studied in detail in the paper. Numerical characteristics of the random vector corresponding to the...
On the basis of analyzing generalized methods of evidence reasoning to fuzzy set, a method of fuzzy-evidence reasoning based on similarity measure is proposed. Similarity measure of fuzzy sets is introduced to determine contribution factors of fuzzy focal elements to belief function and plausibility function in the method. Based on the measure, basic probability assignment values are modified and...
An annotated survey of approaches to design optimization based on possibility theory and evidence theory is presented and prominent characteristics are described in this paper, especially addressing epistemic uncertainty for large-scale and complex systems when statistical data is scarce or incomplete. We first analyze the uncertainties encountered in design and the limitations of probabilistic approach...
The goal of top-k ranking is to rank individuals so that the best k of them can be determined. The definition of top-k ranking is easy for certain data. But for uncertain data, the problem becomes challenging, both semantically and computationally. In this paper, we study semantic issues with top-k ranking for objects modeled by uncertain data in databases. Uncertain data of objects have different...
Based upon previous studies on laws of large numbers for fuzzy variables, we attempt to discuss five Weak Laws of Large Numbers (WLLN) for fuzzy variables based on credibility measure, which are essentially different from WLLN for fuzzy variables based on probability measure.
In radar target detection application fields, rich of information of targets may be included in medium frequency. Doppler shift caused by moving target is one of them. In this paper, Doppler shift and its Short Time Fourier Transform-STFT is analyzed and discussed. Since it is difficult to distinguish the Doppler shift of moving target even in frequency domain with STFF method, fuzzy C means clustering...
A new approach based on evidential reasoning is introduced to synthesize linguistic judgment information of experts. Firstly, the basic probability assignment (BPA) of each focal element is calculated by dealing with the incomplete linguistic decision matrix given by different experts. The consistence and adjustment problem for the BPA among experts is analyzed so as to propose the rule of combination...
To deal with the problem of too many answers returned from a Web database in response to a user query, this paper proposes a novel categorization approach which takes advantages of the user contextual preferences to construct a navigational tree in order to reduce the information overload. Based on the user original query, we first speculate how much the user cares about each attribute in the specified...
This paper proposed a new point symmetry-based ant clustering algorithm which can defect the number of clusters and the proper partitions from data sets when data sets possess the property of symmetry. In the proposed algorithm, a revised ant clustering algorithm is presented which can reduce the running time of standard ant clustering algorithm. Each ant represents a data object. It will decide its...
The pattern information (PI) method was reasonably modified and firstly introduced to the observation data processing of electromagnetic satellite in this paper. Taking the moderate-strong earthquakes as examples, the IAP data recorded by the France DEMETER electromagnetic satellite were systematically processed with the modified PI method. We can find that the variation in non-seismic regions and...
Let G(V,E) be a connected graph with order ≥ 3, α β be positive integers, suppose mapping from E(G) to {1, 2, ..., α} is a proper edge coloring ∀x ∈ V (G). Let S(x) be the set of colors of the all edges incident to x, S(u) ≠ S(v) whenever u, v ∈ V (G) with 1 ≤ d(u, v) ≤ β, then f is called an α-D(β)-vertex-distinguishing proper edge-coloring of graph G(Shortly, an α-D(β)-VDPEC of G) and the number...
Multimodal image registration has played an increasingly important role in medical imaging. A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from feature information, mutual information, and relative entropy, as a new matching criterion. Using Harris corner detection algorithm for image feature detection,and feature characteristics are taken...
Many applications today need to manage data that is uncertain, such as information extraction (IE), data integration, sensor RFID networks, and scientific experiments. Top-k queries are often natural and useful in analyzing uncertain data in those applications. In this paper, we study the problem of answering top-k queries in a probabilistic framework from a state-of-the-art statistical IE model-semi-Conditional...
Really Simple Syndication(RSS) has been widely used in our daily lives, but RSS doesn't always collect interesting articles, user has to sift through every subscription for articles they like. The ranking of unread RSS articles has the potential power to release user from this heavy burden. Although user preferences can be learned from explicit feedbacks such as rating or tagging, implicit feedback...
During the process of building influence diagrams for real-world decision analysis, the most challenging task is probability elicitation from domain experts. Many human experts are used to describing probabilities by verbal or other inexactness expressions. It is hard for them to directly provide numerical probabilities. In this paper, we deal with this issue by using the Group Analytic Hierarchy...
Data mining methods have been proven effective in extracting knowledge from existing data sources for the classification of soils. Previous studies have suggested that soils are spatial entities with fuzzy boundaries and prompted the development of data mining methods to extract knowledge that allows for fuzzy classifications of soils. This paper first looks at the nature of soil classification from...
Recently target detection is widely regarded as a typical hot spot in research of sensor networks. A fast target detection algorithm is proposed by using the hypothesis testing (HT) method in the paper. The objective is to determine whether a target is present in a sensor network for decision-makers. Due to the nature of sensor networks, it is desirable to have a fast algorithm to accomplish the detection...
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