Applying Fuzzy Analytic Hierarchy Process (FAHP) in Healthcare System
Keywords:
Analytic Hierarchy Process (AHP), Fuzzy, Healthcare System
Abstract
Background and Purpose: Managers are applying multi-criteria decision-making methods like analytic hierarchy process (AHP) during the recent two decades mostly due to their positive properties. Moreover, integration of Fuzzy logic and multi-criteria decision-making methods increases capabilities of these methods. This study evaluates the FAHP method in healthcare system.
Method: In this study, a systematic search done by means of Fuzzy Analytic Hierarchy Process, FAHP keywords separately and along with the words medical decision making, healthcare, health and their Persian equivalent inside PubMed, GOOGLE SCHOLAR, PROQUEST, SCOPUS, CINAL, SID and Iran doc databases without time periods and just regarding input and output criteria.
Findings: finally 15 articles studied among 127 extracted articles in which the most application of this method is in evaluation of quality service and positioning while the least application is in other fields of healthcare system.
Conclusion: Although applying FAHP methods in healthcare system increased but it is still low in contrast to other fields which can be due to unfamiliarity of authorities and students of the system.
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References
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22. Lin C-T, Wu C-R, Chen H-C. The study of construct key success factors for the Taiwanese hospitals of location selection by using the fuzzy AHP and sensitivity analysis. International journal of information and management sciences. 2008;19(1):175-200.
23. Chatterjee D, Mukherjee B. Potential Hospital Location Selection Using Fuzzy-AHP: An Empirical Study in Rural India. IJITR. 2013;1(4):304-14.
24. Soltani A, Marandi IZ. Hospital site selection using two-stage fuzzy multi-criteria decision making process (doi: 10.4090/juee. 2011. v5n1. 032043). Journal of Urban and Environmental Engineering (JUEE). 2011;5(1).
25. Afzali A, Samani J, Rashid M. Municipal landfill site selection for Isfahan City by use of fuzzy logic and analytic hierarchy process. Iranian Journal of Environmental Health Science & Engineering. 2011;8(3):273-84.
26. Najafi ML, Nasiri M. Identification and prioritizing the effective factors on addiction by use of Fuzzy analytical hierarchy process (F-AHP). Life Science Journal. 2013;10(9s).
27. Nouei MT, Kamyad AV, Ghazalbash S, Sarzaeem MR. Application of fuzzy-AHP extent analysis to determine the relative importance of risk factors in operative mortality after Coronary Artery Bypass surgery. International Journal on Computer Science & Engineering. 2013;5(5).
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29. Dursun M, Karsak EE, Karadayi MA. A fuzzy MCDM approach for health-care waste management. World Academy of Science, Engineering and Technology. 2011;49:858-64.
30. Zejli K, Azmani A, KHALI ISSA S. Applying Fuzzy Analytic Hierarchy Process (FAHP) to Evaluate Factors Locating Emergency Logistics Platforms. International Journal of Computer Applications. 2012;57.
31. Mohamadali NAK, Garibaldi JM. Comparing User Acceptance Factors between Research Software and Medical Software using AHP and Fuzzy AHP. UKCI 2011 Accepted Papers.138.
32. Parnell GS, Driscoll PJ, Henderson DL. Decision making in systems engineering and management: John Wiley & Sons; 2011.
33. Appelt KC, Milch KF, Handgraaf MJ, Weber EU. The Decision Making Individual Differences Inventory and guidelines for the study of individual differences in judgment and decision-making research. Judgment and Decision Making. 2011;6(3):252-62.
34. Barry MJ, Edgman-Levitan S. Shared decision making—the pinnacle of patient-centered care. New England Journal of Medicine. 2012;366(9):780-1.
35. Turskis Z, Zavadskas EK. Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and economic development of economy. 2011(2):397-427.
36. Harikannan N, Jeyakumar V, Nachiappan M. Decision Making Model for Supplier Evaluation and Selection Using MCDM Methods. Bonfring International Journal of Industrial Engineering and Management Science. 2014;4(2):76-82.
37. Li J, Liu L, editors. An MCDM Model Based on KL-AHP and TOPSIS and its Application to Weapon System Evaluation. 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI 2014); 2014: Atlantis Press.
38. Saaty TL. Analytic hierarchy process. Encyclopedia of Operations Research and Management Science: Springer; 2013. p. 52-64.
39. Mendel JM. Uncertain rule-based fuzzy logic system: introduction and new directions. 2001.
40. Pourghasemi HR, Pradhan B, Gokceoglu C. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Natural hazards. 2012;63(2):965-96.
41. Liberatore MJ, Nydick RL. The analytic hierarchy process in medical and health care decision making: A literature review. European Journal of Operational Research. 2008;189(1):194-207.
42. Lee AH, Chen W-C, Chang C-J. A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications. 2008;34(1):96-107.
43. Naghadehi MZ, Mikaeil R, Ataei M. The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran. Expert Systems with Applications. 2009;36(4):8218-26.
44. Cheng J-H, Lee C-M, Tang C-H. An application of fuzzy Delphi and fuzzy AHP on evaluating wafer supplier in semiconductor industry. WSEAS Transactions on Information Science and Applications. 2009;6(5):756-67.
45. Ertuğrul İ, Karakaşoğlu N. Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications. 2009;36(1):702-15.
2. Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Annals of internal medicine. 2006;144(10):742-52. [PubMed]
3. Davari M, Maraci M, Amini M, Aslani A. Evaluation of equity in pharmaceutical services in selected cities of Kurdistan (Iran) province. PharmD thesis] School of Pharmacy & Pharmaceutical Sciences, Isfahan University of Medical Sciences, Iran. 2010.
4. Black AD, Car J, Pagliari C, Anandan C, Cresswell K, Bokun T, et al. The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS medicine. 2011;8(1):e1000387. [PubMed]
5. Opricovic S, Tzeng G-H. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research. 2004;156(2):445-55.
6. Ulker B, Sezen B. A fuzzy based self-check capable computerized MCDM aid tool. Kybernetes. 2014;43(5):797-816. [PubMed]
7. Laosirihongthong T, Samaranayake P, Adebanjo D. Prioritizing lean supply chain management initiatives in healthcare service operations: A fuzzy-AHP approach. 2014.
8. Aragonés-Beltrán P, Chaparro-González F, Pastor-Ferrando J-P, Pla-Rubio A. An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy. 2014;66:222-38.
9. Ho W, Xu X, Dey PK. Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research. 2010;202(1):16-24.
10. Yin C, He L, Luo Z, Huang H-Z, editors. Applying FAHP to safety and risk assessment of CNC spindle system based on Hilbert space. Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on; 2013: IEEE.
11. Noor NMM, Ahmad IA, Sabri MSH, Ali NH, Ismail F. Fuzzy Analytic Hierarchy Process (FAHP) Approach for Evaluating Tourism Islands in Terengganu, Malaysia. 2012.
12. Rosch E. Neither Concepts Nor Lotfi Zadeh are Fuzzy Sets. On Fuzziness: Springer; 2013. p. 591-6.
13. Mohammadi A, Azam SM, Hasanifard G, Rahmanzadeh H, Jamshidi MB, Manesh RE, et al. Management Estimates the Amount of Damage to Wetlands Caused by Various Environmental Threats Based on Fuzzy Logic. ecosystems. 2013;1:7.
14. Kumar D, Singh J, Singh OP. A fuzzy logic based decision support system for evaluation of suppliers in supply chain management practices. Mathematical and Computer Modelling. 2013;57(11):2945-60.
15. Mohammad Jafari M, Bayegan B. Implementing fahp-bsc integrated approach for evaluating the performance of maintenance and repairs system in nina plant oil company. Indian J Sci Res. 2014;5(1):101-10.
16. Lu M-T, Lin S-W, Tzeng G-H. Improving RFID adoption in Taiwan's healthcare industry based on a DEMATEL technique with a hybrid MCDM model. Decision Support Systems. 2013;56:259-69.
17. Mousakhani M, Rahmani H, Hamidi N. Hospitals ranking using fuzzy analytic hierarchy process Balanced Score. 2010.
18. Büyüközkan G, Çifçi G, Güleryüz S. Strategic analysis of healthcare service quality using fuzzy AHP methodology. Expert Systems with Applications. 2011;38(8):9407-24.
19. Afkham L, Abdi F, Komijan A. Evaluation of service quality by using fuzzy MCDM: A case study in Iranian health-care centers. Management Science Letters. 2012;2(1):291-300.
20. Sinimole K. Performance evaluation of the hospital services-a fuzzy analytic hierarchy process model. International Journal of Productivity and Quality Management. 2012;10(1):112-30.
21. Baradaran Kazemzadeh R, Sepehri M, Firouzi Jahantigh F. Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran. Hospital. 2014;12(4):41-50.
22. Lin C-T, Wu C-R, Chen H-C. The study of construct key success factors for the Taiwanese hospitals of location selection by using the fuzzy AHP and sensitivity analysis. International journal of information and management sciences. 2008;19(1):175-200.
23. Chatterjee D, Mukherjee B. Potential Hospital Location Selection Using Fuzzy-AHP: An Empirical Study in Rural India. IJITR. 2013;1(4):304-14.
24. Soltani A, Marandi IZ. Hospital site selection using two-stage fuzzy multi-criteria decision making process (doi: 10.4090/juee. 2011. v5n1. 032043). Journal of Urban and Environmental Engineering (JUEE). 2011;5(1).
25. Afzali A, Samani J, Rashid M. Municipal landfill site selection for Isfahan City by use of fuzzy logic and analytic hierarchy process. Iranian Journal of Environmental Health Science & Engineering. 2011;8(3):273-84.
26. Najafi ML, Nasiri M. Identification and prioritizing the effective factors on addiction by use of Fuzzy analytical hierarchy process (F-AHP). Life Science Journal. 2013;10(9s).
27. Nouei MT, Kamyad AV, Ghazalbash S, Sarzaeem MR. Application of fuzzy-AHP extent analysis to determine the relative importance of risk factors in operative mortality after Coronary Artery Bypass surgery. International Journal on Computer Science & Engineering. 2013;5(5).
28. Savić S, Stanković M, Janaćković G. Fuzzy AHP Ranking of Occupational Safety System Quality Indicators. Information theory and complex systems.29.
29. Dursun M, Karsak EE, Karadayi MA. A fuzzy MCDM approach for health-care waste management. World Academy of Science, Engineering and Technology. 2011;49:858-64.
30. Zejli K, Azmani A, KHALI ISSA S. Applying Fuzzy Analytic Hierarchy Process (FAHP) to Evaluate Factors Locating Emergency Logistics Platforms. International Journal of Computer Applications. 2012;57.
31. Mohamadali NAK, Garibaldi JM. Comparing User Acceptance Factors between Research Software and Medical Software using AHP and Fuzzy AHP. UKCI 2011 Accepted Papers.138.
32. Parnell GS, Driscoll PJ, Henderson DL. Decision making in systems engineering and management: John Wiley & Sons; 2011.
33. Appelt KC, Milch KF, Handgraaf MJ, Weber EU. The Decision Making Individual Differences Inventory and guidelines for the study of individual differences in judgment and decision-making research. Judgment and Decision Making. 2011;6(3):252-62.
34. Barry MJ, Edgman-Levitan S. Shared decision making—the pinnacle of patient-centered care. New England Journal of Medicine. 2012;366(9):780-1.
35. Turskis Z, Zavadskas EK. Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and economic development of economy. 2011(2):397-427.
36. Harikannan N, Jeyakumar V, Nachiappan M. Decision Making Model for Supplier Evaluation and Selection Using MCDM Methods. Bonfring International Journal of Industrial Engineering and Management Science. 2014;4(2):76-82.
37. Li J, Liu L, editors. An MCDM Model Based on KL-AHP and TOPSIS and its Application to Weapon System Evaluation. 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI 2014); 2014: Atlantis Press.
38. Saaty TL. Analytic hierarchy process. Encyclopedia of Operations Research and Management Science: Springer; 2013. p. 52-64.
39. Mendel JM. Uncertain rule-based fuzzy logic system: introduction and new directions. 2001.
40. Pourghasemi HR, Pradhan B, Gokceoglu C. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Natural hazards. 2012;63(2):965-96.
41. Liberatore MJ, Nydick RL. The analytic hierarchy process in medical and health care decision making: A literature review. European Journal of Operational Research. 2008;189(1):194-207.
42. Lee AH, Chen W-C, Chang C-J. A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications. 2008;34(1):96-107.
43. Naghadehi MZ, Mikaeil R, Ataei M. The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran. Expert Systems with Applications. 2009;36(4):8218-26.
44. Cheng J-H, Lee C-M, Tang C-H. An application of fuzzy Delphi and fuzzy AHP on evaluating wafer supplier in semiconductor industry. WSEAS Transactions on Information Science and Applications. 2009;6(5):756-67.
45. Ertuğrul İ, Karakaşoğlu N. Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications. 2009;36(1):702-15.
CITATION
DOI: 10.17511/ijmrr.2014.i06.25
Published: 2014-12-31
How to Cite
1.
Ameryoun A, Zaboli R, Haghdoost AA, Mirzaei T, Tofighi S, shamsi M amin. Applying Fuzzy Analytic Hierarchy Process (FAHP) in Healthcare System. Int J Med Res Rev [Internet]. 2014Dec.31 [cited 2024Nov.23];2(6):610-7. Available from: https://ijmrr.medresearch.in/index.php/ijmrr/article/view/174
Section
Review Article
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