| 000 | 01506nam a2200277 a 4500 | ||
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| 003 | EG-GiCUC | ||
| 005 | 20250223025956.0 | ||
| 008 | 091207s2009 ua dh f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aGift | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.34.M.Sc.2009.Ba.T | ||
| 100 | 0 | _aBahaa Beih Eldesouky | |
| 245 | 1 | 2 |
_aA type -2 fuzzy logic system for multi-occupant educational ambient intelligent environments / _cBahaa Beih Eldesouky ; Supervised Hani Hagras |
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_aCairo : _bBahaa Beih Eldesouky , _c2009 |
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_a162 Leaves : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Computer Science and Engineering | ||
| 520 | _aIn this thesis we will present a type -2 fuzzy logic system that can be embedded in multioccupant educational Ambient Intelligence Environments (AIEs) . The system utilizes the power of type -2 fuzzy logic in modeling various types of uncertainties (especially inter - user uncertainties) . The system non - intrusively learns the collective behavior of the occupants from their individual type-1 profiles knowledge about the users ` behavior and preferences is encoded in the form of type-2 rules and membership functions | ||
| 700 | 0 |
_aHani Hagras , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 902 | _a1 | ||
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_aNazla _eRevisor |
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_aSoheir _eCataloger |
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