This paper introduces a filter, named FCF (Fuzzy Clusteringbased Filter), for removing redundant features, thus making it possible to improve the efficacy and the efficiency of data mining algorithms. FCF is based on the fuzzy partitioning of features into clusters. The number of clusters is automatically estimated from data. After the clustering process, FCF selects a subset of features from t...

The equipment investment scheme evaluation of enterprise is usually multi-objective optimization problem affected by many factors. Among many optimization methods, the common fuzzy matter element is based on the matter-element analysis and combined with the concepts of fuzzy mathematics, which can reflect the subjective fuzzy judgment; the common entropy weight method makes use of the judgment ...

Data mining is having an aim to analyze the observation datasets to find relationship and to present the data in ways that are both understandable and usable. This paper basically focuses on the classification technique of datamining to identify the class of an attribute with an ID3 (classical decision tree approach) and then to add fuzzification to improve the result of ID3.It also contains de...

Absfracf-This paper describes a syllable-proximity evalual tion task within the context of an automatic speech recognition application. This task is well suited to a multipleinformation aggregation framework in which preliminary evaluations of separate information sources are combined to produce a more accurate and reliable overall evaluation than would otherwise be the case. An aggregation ope...

In this paper we present a novel approach for microcalcification detection in Digital Breast Tomosynthesis (DBT) datasets. A reconstructionindependent approach, working directly on the projected views, is proposed. Wavelet filter responses on the projections are thresholded and combined to obtain candidate microcalcifications. For each candidate, we create a fuzzy contour through a multi-level ...

data envelopment analysis (dea) has been proven as an efficient technique to evaluate the performance of homogeneous decision making units (dmus) where multiple inputs and outputs exist. in the conventional applications of dea, the data are considered as specific numerical values with explicit designation of being an input or output. however, the observed values of the data are sometimes imprec...

As a contribution to a better understanding of the integration of different data sets into knowledge-based classification processes the presented study compares different data-fusion techniques which combine spectral and textural information of a QuickBird scene with ancillary data layers and a knowledge base for the identification of forest structures and habitats. The approach compares a fuzz...

Abstract This author introduces the concept of Stepwise Strategy Approach (SSA) for dealing with a number of problems arises in the current age of technology. This new idea is combined with the knowledge of Grey Theory for adding flexibility to decision making process. Grey theory is useful for grasping the ambiguity exists in the utilized information and the fuzziness appears in the human judg...