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008			141217t20142015sz a ob 001 0 eng d
020			_a9783319125022 _qelectronic bk.
020			_a3319125028 _qelectronic bk.
020			_z9783319125015
029	1		_aNLGGC _b387106359
029	1		_aDEBBG _bBV043618400
029	1		_aAU@ _b000058363534
035			_a(OCoLC)898213726 _z(OCoLC)908086715
040			_aN$T _beng _erda _epn _cN$T _dGW5XE _dN$T _dYDXCP _dOCLCF _dCDX _dIDEBK _dEBLCP _dBAUN
049			_aBAUN_MERKEZ
050		4	_aHD30.23
072		7	_aBUS _x082000 _2bisacsh
072		7	_aBUS _x041000 _2bisacsh
072		7	_aBUS _x042000 _2bisacsh
072		7	_aBUS _x085000 _2bisacsh
082	0	4	_223
100	1		_aBrunelli, Matteo,
245	1	0	_aIntroduction to the analytic hierarchy process _h[electronic resource] / _cMatteo Brunelli.
264		1	_aCham : _bSpringer, _c[2014]
264		4	_c©2015
300			_a1 online resource (viii, 83 pages) : _bcolor illustrations.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aSpringerBriefs in Operations Research, _x2195-0482
504			_aIncludes bibliographical references and index.
505	0		_tPreface _tContents _tChapter 1 Introduction and Fundamentals _t1.1Fundamentals _t1.2Applications _t1.3Criticisms and Open Debates _tChapter 2 Priority vector and consistency _t2.1Priority vector _t2.1.1Eigenvector metho _t2.1.2Geometric mean method _t2.1.3Other methods and discussion _t2.2Consistency _t2.2.1Consistency index and consistency ratio _t2.2.2Index of determinants _t2.2.3Geometric consistency index _t2.2.4Harmonic consistency index _t2.2.5Ambiguity index _t2.2.6Other indices and discussion _tChapter 3 Missing comparisons and group decisions _t3.1Missing comparisons _t3.1.1Optimization of the coefficient c33.1.2Revised geometric mean method _t3.1.3Other methods and discussion _t3.2Group decisions _t3.2.1Integrated methods _tChapter 4 Extensions _t4.1Equivalent representations _t4.1.1Additive pairwise comparison matrices _t4.1.2Reciprocal relations _t4.1.3Group isomorphisms between equivalent representations _t4.2Interval AHP _t4.3Fuzzy AHP _t4.3.1Fuzzy AHP with triangular fuzzy numbers _t4.3.2Is the fuzzy AHP valid? _tChapter 5 Conclusions _tAppendix A Eigenvalues and eigenvectors _tAppendix B Solutions _tReferences _tIndex
520			_aThe Analytic Hierarchy Process (AHP) has been one of the foremost mathematical methods for decision making with multiple criteria and has been widely studied in the operations research literature as well as applied to solve countless real-world problems. This book is meant to introduce and strengthen the readers' knowledge of the AHP, no matter how familiar they may be with the topic. This book provides a concise, yet self-contained, introduction to the AHP that uses a novel and more pedagogical approach. It begins with an introduction to the principles of the AHP, covering the critical poin.
590			_aeBooks on EBSCOhost _bAll EBSCO eBooks
650		0	_aDecision making _xMathematical models.
650		0	_aAlgorithms.
650		0	_aEigenvectors.
650		7	_aBUSINESS & ECONOMICS / Industrial Management _2bisacsh
650		7	_aBUSINESS & ECONOMICS / Management _2bisacsh
650		7	_aBUSINESS & ECONOMICS / Management Science _2bisacsh
650		7	_aBUSINESS & ECONOMICS / Organizational Behavior _2bisacsh
650		7	_aAlgorithms. _2fast
650		7	_aDecision making _xMathematical models. _2fast
650		7	_aEigenvectors. _2fast
650		4	_aEconometrics.
650		4	_aEconomics.
650		4	_aOperations research.
655		4	_aElectronic books.
830		0	_aSpringerBriefs in operations research.
856	4	0	_uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=926304
776	0	8	_iPrint version: _aBrunelli, Matteo _tIntroduction to the Analytic Hierarchy Process _dCham : Springer International Publishing,c2014 _z9783319125015
942			_2lcc _cEKT
999			_c41121 _d41121