A prototype system has been designed to automate the extraction of bibliographic data (e.g., article title, authors, abstract, affiliation and others) from online biomedical journals to populate the National Library of Medicine’s MEDLINE® database. This paper describes a key module in this system: the labeling module that employs statistics and fuzzy rule-based algorithms to identify segmented ...

The aim of this paper has twofold: i) to explore the fundamental concepts and methods of neighborhood-based cluster analysis with its roots in statistics and decision theory, ii) to provide a compact tool for researchers. Since DBSCAN is the first method which uses the concept of neighborhood and it has many successors, we started our discussion by exploring it. Then we compared some of the suc...

Our method concentrates on and constructs the distinguished single gene network. An integrated method was proposed based on linear programming and a decomposition procedure with integrated analysis of the significant function cluster using Kappa statistics and fuzzy heuristic clustering. We tested this method to identify ATF2 regulatory network module using data of 45 samples from the same GEO ...

The paper entails the statistical correlation of the investigations carried out for the sales and profit prediction and analysis by persons of different mindsets in case of strategic uncertainty . The paper by virtue of statistical and fuzzy logic based justifications has pointed out certain discovered facts in this perspective. The normal , optimistic , pessimistic and fickleminded based indiv...

This paper discusses the first-hand experiences of the author in developing and teaching courses in neural networks, evolutionary computing and fuzzy logic. While these courses are offered at the graduate level in a school of engineering, they have attracted a variety of students from many engineering disciplines, from medical studies, from business school, from mathematics and statistics, and ...

The deduction problem we will consider can be loosely described as follows: given the probabilities of some events, we wish to compute the probabilities of some other events. The terms "event" and "probability" are to be understood as having the meaning assigned to them in statistics. Probabilistic inference rules have been shown to constitute a key ingredient of expert systems. This report add...

Since the early 1990s, the mathematical models have been developed and applied to landslide hazard mapping using GIS. Among various models, this paper discusses the effectiveness of fuzzy set theory for landslide hazard mapping. In this study, we collected several data sets related to landslide occurrences in Boeun, Korea, and then digitally represented as the fuzzy membership functions. To int...

In this article the methodology proposed by Li and Wang for mixed qualitative and quantitative modeling and simulation of temporal behavior of processing unit is reexamined and extended to more complex case. The main issue of their approach considers the multivariate statistics of principal component analysis (PCA), along with clustered fuzzy digraphs and reasoning. The PCA and fuz...

In the present study new features are extracted from the dark spot and fuzzy based techniques were utilized for classifications of the dark spot into oil spill and look alike. Threshold is defined for detection of dark spot, which is obtained from histogram analysis, where the image histograms consist of two peaks. For scenes devoid of two peaks in the histogram, an empirical formula is develop...

Introduction Most fMRI data display significant higher-order statistics representing tendencies to grouping along various shapes, even if such feature is commonly hidden by the overall distribution. Since the spatiotemporal characteristics of brain activity are frequently unknown and variable, their evaluation using hypothesis-driven methods only is rather difficult. Analysis of an fMRI block-b...