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Fuzzy 1-lines algorithm

According to the choice of prototypes and the definition of the distance measure, different fuzzy clustering algorithms are obtained. If the prototype of a cluster is a point - the cluster center - it will give spherical clusters, if the prototype is a line it will give tubular clusters. [Pg.389]

These tests generate several Gigabytes of data that are fed into a historical database. Although most of the analysis is performed automatically, human interaction is still needed to compare current and past data. Data are stored on optical CD S s from which the historical data bank are retrieved during field inspections from a mobile unit. Each of these is equipped with a CD-jukebox linked to an analysis station. The jukebox can handle 100 CD s, enough to store all previously recorded data. A dedicated software pre-fetches the historical data and compares it on-line with the newly acquired NDT-data. It is based on fuzzy algorithms applied to signal features. [Pg.1022]

Development of specialised network algorithms for radioactive material routing and scheduling strategies that explicitly recognise the multi-objective and fuzzy nature of the associated risks, and that may be applied on-line in conjunction with real-time information on shipment location as well as up-to-the-minute updated risk assessments Development of computer software to achieve optimum strategy for safe transportation of radioactive materials using fuzzy set theory methods. [Pg.212]


See other pages where Fuzzy 1-lines algorithm is mentioned: [Pg.321]    [Pg.336]    [Pg.321]    [Pg.387]    [Pg.1098]    [Pg.96]    [Pg.331]    [Pg.465]    [Pg.199]    [Pg.272]    [Pg.311]    [Pg.2620]    [Pg.135]    [Pg.41]    [Pg.198]    [Pg.252]    [Pg.337]   
See also in sourсe #XX -- [ Pg.321 ]




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