Clustering is a very useful technique which helps to enrich the semantics of the data by revealing patterns in large collections of poly-dimensional data. Moreover the fuzzy approach in clustering provides flexibility and enhanced modeling capability, as the results are expressed in soft clusters, allowing partial memberships of data points in the clusters. During the last decade, the digitaliz...

In this paper, the development of an improved Takagi Sugeno (TS) fuzzy model for identification and chaotic time series prediction of nonlinear dynamical systems is proposed. This model combines the advantages of fuzzy systems and Infinite Impulse Response (IIR) filters, which are autoregressive moving average models, to create internal dynamics with just the control input. The structure of Fuz...

Using comparative case studies, this paper shows how institutional contexts influence the process of diffusion of a complex technology by determining the pattern of material resources and authority available to actors in their struggles to control the technology, and by constituting the discursive resources that may be mobilized in their struggles to shape its meaning in preferred ways. The pap...

In this paper, we propose a context-sensitive technique for unsupervised change detection in multitemporal remote sensing images. The technique is based on fuzzy clustering approach and takes care of spatial correlation between neighboring pixels of the difference image produced by comparing two images acquired on the same geographical area at different times. Since the ranges of pixel values o...

Nonmuscle myosin II-B (NM II-B) plays an important role in cardiac development and function. Genetic ablation of NM II-B in mice results in both cellular and structural defects involving cardiac myocytes. These abnormalities include a ventricular septal defect, double outlet of the right ventricle, myocyte hypertrophy and premature onset of myocyte binucleation due to abnormalities in cytokines...

c classes are characterized by unknown probability distributions. A data sample containing labelled vectors from each of the c classes is available. The data sample is divided into test and training samples. A classifier is designed based on the training sample and evaluated with the test sample. The classifier is also evaluated based on its asymptotic properties as sample size increases. A mul...

In the past two decades, there has been a substantial increase in emphasis on groups in organizations in general (e.g., Leavitt, 1975; Ouchi, 1981; Zander, 1982) and on group problem solving in particular (e.g., Brandstatter, Davis, & Schuler, 1978; Delbecq, Van de Ven, & Gustafson, 1975). However, surprisingly little attention has been paid to the development of comprehensive models of group p...

Despite the promise of medical computing innovations, many health care professionals have expressed skepticism about the computer’s role as an aid to clinicians. A number of barriers have been noted. For example, Friedman and Gustafson (1977) have suggested that system designers tend to develop systems that are neither convenient for physicians nor responsive to their needs. Glantz (1978) has q...

For the problem of change detection it is difficult to have sufficient amount of ground truth information that is needed in supervised learning. On the contrary it is easy to identify a few labeled patterns by the experts. In this situation to avoid wastage of available information semi-supervision is suggestible to enhance the performance of unsupervised ones. Here we present the fuzzy cluster...

adsorption of anilofos was studied in four soils (topsoil from alfisol, inceptisol, oxisol and vertisol). the order of adsorption of anilofos was vertisol > oxisol > alfisol > inceptisol. the soil sorption coefficient k and the soil organic carbon sorption coefficient koc are the basic parameters used for describing the environmental fate of the herbicides. in top soil the calculated k values ...