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2017.IX.
Young members of the MY-X team co-operate successfully with PhD-Students in frame of the conference of Szarvas!

2017.VII.
The MY-X team (incl. joung members) participated on the conference 'In memoriam Enyedi György'

2017.VI.
Bárdy-Péter-Prize for a member of the MY-X team concerning his innovation potential!

2017.V.
Gábor-Dénes-Prize (special prize for mathematics) for a member of the MY-X team!

2017.IV.
Special Prize in Minsk in frame of an essay-competition for a member of the MY-X team concerning a study about reform approches in education!

2017.IV.
III. Prize in the Hlavay competition for a member of the MY-X team!

2017.III.
NTP-NFTÖ financial support for a member of the MY-X team!

2017.II.
Successful presentation in TUDOK-competition in Nyíregyháza and later in Székesfehérvár by a member of the MY-X team!



Last modified: 2015.VII.19.14:08 - MIAÚ-RSS
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Bioetics and similarity analysis

Leading article: 2009. August (MIAU No. 132.) - Pitlik László (MIAU) -
(Previous article: MIAU No. 131.)

Introduction
Nothing is coincidence?! The advice from an admired friend (cooperating on the same field) to read the Hungarian Review of Bioethics (2007/3) seems first to be as something against boredom. But the last result of project intern, international consultations (having the aim: reforming the agricultural advisory processes and methodology) was just the following: 'The Y0_max models basing on similarities and providing analyses without a direct aim for object comparison reflect a 'worldview' of the classic economics, while the Y0_min models support a modern (more sustainability-driven) philosophy.' The new Y0_min models have also no a direct aim in the learning logic, but this type of analysis is able to detect such attributes of enterprises, which are categorical needed to classify firms, in opposition to Y0_max aiming to find such kind of attributes, which ensure the most far classification between object and their groups. Hereby an Y0_min model is like the logic of bio-production: it does not ensure, to have no dangerous ingredients in the food. It only promises: to avoid further system dangers (as well as environmental risks) through human manipulations. On the other hand the difference between Y0_min and Y0_max is the same as between sport men: other attributes are involved to classify heavy athletes and decathlon athletes as by evaluation only of decathlon athletes among each other. In the classification between limited similar objects it is necessary to identify the most evident descriptors. The in case of closely similar objects it ought to be spoken about other attributes - hoping to be able to visualize and to understand differences. Our (cluster analyze-driven) logic is conditioned to handle with the classic (most far) object's group. Unfortunately we are at the moment not really able to accept at once the parallel world of classification...
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