000			01978cam a2200313 a 4500
003			EG-GiCUC
008			150217s2014 ua f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aPh.D
099			_aCai01.18.02.Ph.D.2014.Ha.N
100	0		_aHamed Mahmoud Elsayed Mahmoud
245	1	2	_aA novel approach for fuzzy multi-criteria decision making / _cHamed Mahmoud Elsayed Mahmoud ; Supervised Hesham Ahmed Hefny , Hisham Fouad Aly
246	1	5	_aأسلوب مبتكر {uئإئ٩}تخاذ القرار الفازى متعدد المعايير
260			_aCairo : _bHamed Mahmoud Elsayed Mahmoud , _c2014
300			_a135 Leaves ; _c30cm
502			_aThesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science
520			_aThis thesis proposes an improved fuzzy multi criteria decision making (FMCDM) model called: Gaussian fuzzy ANP (GFANP). The proposed GFANP overcomes the ranking problem of the classical FANP by introducing novel scenario for switching between TFNs and their approximated gaussian fuzzy numbers (GFNs) in the ranking stage, while returning back to TFNs when performing arithmetic operations during the preparation of evaluation matrices. Accordingly, the proposed GFANP model does not allow the appearance of zero values in the ranking vector of the considered alternatives. The proposed GFANP is evaluated by field experts in the domain of electric power generation, where we use our proposed model to select the best scenario for generating electric power in Egypt for the next decade based on both risk and cost
530			_aIssued also as CD
653		4	_aANP
653		4	_aElectric power generation
653		4	_aFuzzy
700	0		_aHesham Ahmed Hefny , _eSupervisor
700	0		_aHisham Fouad Aly , _eSupervisor
905			_aNazla _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c49438 _d49438