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Titlebook: Intelligent Information and Database Systems; Third International Ngoc Thanh Nguyen,Chong-Gun Kim,Adam Janiak Conference proceedings 2011

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Rough Sets Applied to the RoughCast System for Steel Castingsf the theory is the so-called rough information system that gives a model for dealing with the situation in which some real objects are represented ambiguously via defined approximation (alternatives of values of the objects attributes). The proposed rough system opens a way to process such informat
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RECA Components in Rough Extended Clustering Frameworkpredefined number of clusters or thresholds areas. Clusters most often are represented by the cluster center, and the cluster centers are viewed as cluster representitives. In the paper, in the .ough .xtended .lustering .ramework, the basic RECA (.ough .ntropy .lustering .lgorithms) construction blo
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Granular Representation of Temporal Signals Using Differential Quadraturesresented method is based on using fuzzy numbers as information granules. Three types of fuzzy numbers are considered, as interval numbers, triangular numbers and Gaussian numbers. The input space contains values of first few derivatives of underlying signal, which are computed using certain numerica
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An Adjustable Approach to Interval-Valued Intuitionistic Fuzzy Soft Sets Based Decision Makings based decision making by using level soft set, and subsequently extended the approach to interval-valued fuzzy soft set based decision making. Jiang et al. generalize the approach to solve intuitionistic fuzzy soft sets based decision making. In this paper, we further generalize the approaches int
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Complex-Fuzzy Adaptive Image Restoration – An Artificial-Bee-Colony-Based Learning Approach corrupted by noise, resulting in the degradation of valuable image information. Complex fuzzy set (CFS) is in contrast with traditional fuzzy set in membership description. A CFS has the membership state within the complex-valued unit disc of the complex plane. Based on the membership property of C
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Rule Extraction for Support Vector Machine Using Input Space Expansions a black-boxed system. We first prove that SVM decision network and the zero-ordered Sugeno FRB type of the Adaptive Network Fuzzy Inference System (ANFIS) are equivalent indicating that SVM’s decision can actually be represented by fuzzy IF-THEN rules. We then propose a rule extraction method base
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Uniform RECA Transformations in Rough Extended Clustering Frameworktion seems to present promising area of data analysis, particulary suited in the area of image properties analysis. The uniform . transformation as a generalization of clustering approaches contains three standard rough transformations - standard .-means transformation, fuzzy .-means transformation
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Self–Organizing Map Representation for Clustering Wikipedia Search ResultsVector Space Model representation based on terms has been used to build groups of similar articles extracted from Kohonen Self-Organizing Maps with DBSCAN clustering. To warrant efficiency of the data processing, we performed linear dimensionality reduction of raw data using Principal Component Anal
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