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1 TOPSIS $#!"."! 1 1 1*! -1 6,%% / 9 %') / 2 # / $%&' # /! 9/2/2: 96/12/5:!"!# $ % & ' (# )#* + $*, -./ 01% & 21% +# 3% 2./ 45: -,B 01% & + $0? $0 >/$01 >3# >%=*</% :;* (#.2 -+% 6 $8#% & 21% >-K +.* + $JJA0 <EI# +D >/8'G0H% CD :#E,F >/-++:/+ $0 >/$01 >%=* % > N3* % NO PA0 M&-B/+C* 0 (# +.> +' L#+<E 01%.2. 0&+ /M& (# Q % $0? -+= $3!# % + >/M& G?S + 01% & 21% $0 >/$01 H /+ $" R#0:/0# % -+ $Z?+>/$01 2'S,+-L#D+0/4662/=M&% +D% $01 Y2#? +0/462/=M&% +%,&.0' S4/+ 41-L#D+0/2830/2842/=>/M&% G** + 0H+ >/M& bj& + G** % $0 a+_c`(#0"% -,B >/8? % D* % :>'B0 ^;%.2--/" 21% & >+ >/0 d+(c./ YC2A* >1 + 01% 8H >L* 8H.$0? $0 > N3* 01% & 21% :>H >/-e *.! : a.nezami1998@gmil.com :%&'(!#$ 9 / 22

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7 ,"*+ /%& S $ m!+ (".)9 0%I ^I T8!<c "60 "*+ R+Sc" $ m!+ (~. I '9c T8 "560,"*+ $! $ m!+ (z. %?<8 55'$5%& t5q! 5(9I -5=08 5'K, 5+* - 5! $'9 "0 ","*+ 5,$ '% 5*, 2& $+ -5(9(:& n '$%&$=08 (4) (1390) "12, () (1392) "512, (9B5& E5 5,"5 5C"s ","*+ 'T8 tq! E"5 +*! ' * F959=& t5q! (6) (1393) "512, 5BI5L 53 *5+ "5,"*+ B$=& $ (1393) "512, P E +* 5+*.5/ -9*)& $ tq! (5),5 F9 $ * F " " 5 v5! $O *. $+ * $ G%8' 5,m!5+ ~ $ n ~ 59) *'59c $5 "5& ! +* 9=P %* $ R2 (.2 $Z $O -1 _& K +* :9,*'9c -1 5 $5.,j5c F5 n5 FB 3 - " * -551 " 55 _55& 55 *'59c 5 $5=08 5,"*+ 5 5+* " & + F99=&,"*+ '$%& ~.+ $+ " $=& %) ;=& * F95'y2, ("5*+ 4) ;5=B /& $ ("*+ ("5*+ 4) 5+* $5!,5 5L. +, m!5+ 5* 5!,"*+ (?.'), d=p F9 mq/ R+Sc * * S55 m!55+ ( !,"*+. I '9c T8 "60 *5& ^5I d=5p 5 $ ( "560 +, 90,"*+.! t55q! $<55)< 55 55,"55*+ (.'+ d9=p $ m!+ 5 5,"5*+ 5&c S $ ( '95c T8 "60!<c +, $<)<. + ","*+ 9* c $ (. '9c T8!<c +, $<)<,"*+ (.$B I '9c T8 ;=B /& $ 3 5+* $5!, L m!+ (H "560!5<c 590 $<)<,"*+. I '9c T , 90,"*+ ( ("29) ;=B -)Y $ m!+.'+ ^1 "5*+ 52> R5+Sc $5 m!5+ ({. F9c "*+ R+Sc9c $ m!+ (;. *& ^I T8 "55*+ 55* $55 m!55+ (. '9c T8 28

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9 References 1. Haghparast H, Moeini E. Health Economics: Views and Theories. Soc Security. 2004; 12(16): Ahmadi AM, Mohammadqhaffari H, Emadi SJ. The relationship between economics macro variables and health in Iran. Soc Security. 2010; 10(9): Mansouri-Sales M. Determining development index of cities in Tehran Province. MA Thesis, Shahid Beheshti University Tahari-Mehrjerdi MH, Babaei-Meibodi H, Morvati Sharifabadi A. Ranking provinces I.R. Iran in terms of health indexes. Health Information Manag. 2012; 9(3): Rezaee S, Ghazanfari S, Kazemi Zh, Kazemi-Karyani A. Availability of health section facilities (A case study in Kermanshah Provinc). J Kermanshah Univ Med Sci. 2014; 18(): Sadeqhifar J, Seidin SH, Anjom-Shoaa M, Rajabi-Wasokolae Gh, Moosavi SM, Armon B. Determining development index of cities in Booshehr Province in trems of health indexes using numerical taxonomy. J Razi Univ Med Sci. 2014; 21(11): Tofighi Sh, Hamoozadeh P, Moradizadeh H, Sadeqhifar J. Leveling of the cities of West Azarbayjan province in using structural indicators of health and treatment. J Qazvin Univ Med Sci. 2013; 1(2): UN human development report (tables and selected text). Translated by Memarzadeh Q. Organization of Planning and Budjet. 2003; Shahdadi H. Application of social and economic indexes in development planning. Tehran: Organization of Planning and Budjet of Tehran. 2003; 33(4): Borzooian S. Determining development index of Mazandaran cities. MA Thesis, Tarbiat Modares University. 1995; Mazroei R. Determining development index of Isfahan cities. MA Thesis. Shahid Beheshti University. 1994; Zarghami M, Szidarovszky F. Stochasticfuzzy multi criteria decision making for robust water resources management. Stochastic Environ Res Risk Assess. 2009; 23: Ravanshadnia M, Bozorgmehr MA. Multi factor fuzzy decision making. Tehran: Simaye Danesh Pub. 2014; Ghazanfari M, Rezaei M. An introduction to theorizing fuzzy systems. Tehran: Science and Technology University Pub. 2010; Asgharpoor MJ. Multi factor decision making. 2 nd ed. Tehran: Tehran University Pub. 2002; Srdjevic B, Medeiros YDP, Faria AS. An Objective Multi-Criteria Evaluation of Water Management Scenarios. Water Resources Manage. 2004; 18: Chen SJ, Hwang LC. Fuzzy Multiple Attribute Decision Making: Methods and Applications. Berlin: Springer Verlag Pub. 2008;

10 Ranking and comparison of health and health services in cities of Lorestan province using TOPSIS method Nezami A *1, Purrashno F 2, Mir A 3 1. Department of Management, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran, a.nezami1998@gmil.com Received: 24 Feb 2018 Accepted: 1 April 2018 Abstract Background: In spite of the great importance of health and health services, the imbalance in distribution of such services has always been one of the main problems of planners. This research was carried out with the aim of ranking and comparing health and health services in cities in Lorestan province. Materials and Methods: Data was collected from books and documents, and from experts in the field of health and health services. To do this, 18 indicators of health and related services were selected, and ranked utilizing the fuzzy TOPSIS method. Results: Results showed that there were significant differences among the cities under investigation, in terms of health services. Khorramabad ranked first for similarity index and Boroujerd ranked second (similarity index= 0.466). Also, Delfan and Dooreh came 9 th and 10 th, with a similarity index of and , respectively. Conclusion: According to the analysis, the main weaknesses in the province were the pharmacist's per capita indices, per capita radiography centers, per capita urban health centers, per capita active beds, as well as the percentage of health centers in villages. Key words: Health, Health services, Fuzzy TOPSIS, Lorestan Province. *Citation: Nezami A, purrashno F, Mir A, Ranking and comparing Lorestan Province cities in terms of health and health services using the TOPSIS method. Yafte. 2018; 20(2):

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