000			02814cam a2200325 a 4500
003			EG-GiCUC
008			171014s2017 ua f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aPh.D
099			_aCai01.18.05.Ph.D.2017.Ga.O
100	0		_aGamal Eldin Abdelhakim Mohamed Elemam
245	1	0	_aOn recent methods for solving multi criteria decision making problems / _cGamal Eldin Abdelhakim Mohamed Elemam ; Supervised Mohamed Sayed Ali Osman , Ramadan A. Zein Eldin , Hamdin Abdelwahed Khalifa
246	1	5	_aعن الطرق الحديثة لحل مشاكل إتخاذ القرار متعددة المعايير
260			_aCairo : _bGamal Eldin Abdelhakim Mohamed Elemam , _c2017
300			_a116 Leaves ; _c30cm
502			_aThesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Opertion Research
520			_aMulti-criteria decision-making (MCDM) is one of the most widely used decision methodologies in the sciences, business, and engineering worlds. In this thesis, we develop new methodologies for solving multi-criteria decision-making problems. By using hybridization between two methods, or hybridization between three methods, simple multi attribute rating technique (SMART), ELimination and choice expressing REality (ELECTRE) and technique for order preference by similarity to Ideal solution (TOPSIS). The SMART method is used here to determinate the weights for each of the criteria to reflect its relative importance. The ELECTRE method defined a partial ranking on the set of alternatives, The TOPSIS method used to rank all of the alternatives. Also we presented the hybridization between ELECTRE and TOPSIS methods to solve group decision making problem. We study the stability of MCDM problems with parameters in the decision matrix or in the weight vector of the criteria, by using the hybridization between SMART and TOPSIS methods, to explain the effect of the two parameters, parameter in the decision matrix and parameter the weight vector of criteria. Rough data expresses uncertainty, any vague concept can be represented as a pair of precise concepts based on the lower and upper approximations. An illustrative numerical example is given to solve decision-making problems with rough data, and another example applies the stability sets of the first kind using TOPSIS method
530			_aIssued also as CD
653		4	_aELECTRE
653		4	_aMaking problems
653		4	_aMulti-criteria decision-making (MCDM
700	0		_aHamdin Abdelwahed Khalifa , _eSupervisor
700	0		_aMohamed Sayed Ali Osman , _eSupervisor
700	0		_aRamadan A. Zein Eldin , _eSupervisor
905			_aNazla _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c62896 _d62896