مدیریت و رهبری

تکنیک تصمیم گیری چندمعیاره saw

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Simple Additive Weighting method ANT Professor: Mohammad Hasan Maleki Ph.D. Collector: Azam Noori Qom University November 2018

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- 9 2 @ @ > wey é = (omar 2 = SAW => @) ME

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Introduction SAW: * Is one of the most important concepts in multiple attribute decision-making. * Is one of the easiest methods available in multiple attribute decision-making. * Its basis is decision matrix. ٠ Is also known as the simple weighted linear combination method. * Was introduced by C.L. HWANG & K. Yoon in 1981.

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Step 1: Decision Matrix Formation Decision Matrix Aj 5 Ci a Ay 11 112 42 121 122 Am Tm1 Tm2

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SAW Method Steps Step 2: Making decision matrix data dimensionless using linear method Ti; > For Positive Indicators: ny = ‏سس‎ ‎ii ‎7 8 - 11:00 ‏(ز:‎ ‎> For Negative Indicators: nj - rij

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SAW Method Steps Normal Matrix Aj 5 6“ C2 Qa Ay 111 112 Nin ۸42 121 N22 Nan Am Nm1 Nm2 Tmn

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Step 3: Determining the weight of each indicator Ww: {

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8 SAW Method Steps Step 4: Obtaining the utility of each option 72 D,=>) W ,*7,, ‏<م‎ 1 Choosing the best 000۰ {

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Four types of building systems have been evaluated for selecting the optimal construction system. These include: The structure of the criteria includes: Administrative criteria, Economic criteria and Environmental criteria. Assess the most optimal performance of building systems using the SAW method.

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10 Decision Matrix Environmental Administrative Economic criteria 8 criteria criteria 0.25 0.242 0.296 0.23 0.243 | 0.227 3D-panel 0.24 0.232 0.235 | PRCS 0.28 0.283 | 0.242

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11 Maximum Amount of Each Column 0.28 0.283 0.296 Making decision matrix data dimensionless Administrativ Economic Environmental e Criteria Criteria Criteria 0.25/0.28 = 0.242/0.283 = 0.296/0.296 = 1 0.89 0.85 0.23/0.28 = 0.243/0.283 = 0.227/0.296 = 0.82 0.86 0.77 0.24/0.28 = 0.232/0.283 = 0.235/0.296 = 0.86 0.82 0.79 0.28/0.28=1 £0.283/0.283 =1 0.242/0.296 =

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12 Normal Matrix Administrativ Economic Environmental e criteria criteria criteria LSF 0.89 0.85 1 ICF 0.82 0.86 0.77 3D-panel 0.86 0.82 0.79 PRCS 1 1 0.82

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Determining Relative Weight of Criterion: Criteria Administrati Economic | Environment ve criteria criteria (+) al criteria (+) (+) 0.3319 0.3323 0.3358

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14 0.914 0.817 0.823 0.939 Obtaining the utility of each option: 0.89 5 0.82 0.86 0. 77 a 0.86 0.82 0.70 0.3358 1 1 2 1

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Choosing the best option: 1 PRCS 0.939 2 LSF 0.914 3 3D-panel 0.823 4 ICF 0.817

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16 References Osxkarpour, Ol. (IQE9). OBOO. Outils Criteria Devisiwaxwahiay. (pp. GOC-COF). Debra Peron Ouversip, Dekron Oaiversiy Publication. ‎Gpstew Oster Dutipte‏ بان ‎Woven, @. (IOS). Getevtiay the Optcod‏ کر ,ره ‎Orvisiorwaking Cophusizicy oo Three Orthods ve POPGIG, GOO, ۰‏ سم ‎oP Girusturd acd Ovwsirusion Benieeerieny (ISO@). © (2). (0-8?‏ امول

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