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Applying the fuzzy analytical hierarchy process for classifying and prioritizing healthcare quality attributes


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Adebanjo, D., Laosirihongthong, T., Samaranayake, P. (2016), Prioritizing Lean Supply Chain Management Initiatives in Healthcare Service Operations: A Fuzzy AHP Approach, Production Planning & Control, 27(12), 953-966.10.1080/09537287.2016.1164909 Search in Google Scholar

Alroaia, Y., and Ardekani, M. (2012). Representing a combination algorithm (AHP and Kano) in order to priority effective factors on customer needs in e-banking: The case of Bank-e-Saderat of Tehran Province. African Journal of Business Management, 6(26), 7727-7735. Search in Google Scholar

Amiri, M. P. (2010). Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(9), 6218-6224, http://dx.doi.org/10.1016/j.eswa.2010.02.103.10.1016/j.eswa.2010.02.103 Search in Google Scholar

Bayraktaroglu, G., and Özgen, Ö. (2008). Integrating the Kano Model, AHP and planning matrix: QFD application in library services. Library Management, 29 (4/5), 327-351, http://dx.doi.org/10.1108/01435120810869110.10.1108/01435120810869110 Search in Google Scholar

Belton V., Stewart T. J. (2002). Multiple criteria decision analysis: An integrated approach, Kluwer Academic Publishers, Boston.10.1007/978-1-4615-1495-4 Search in Google Scholar

Bellman, R. E., and Zadeh, L. A. (1970). Decision making in a fuzzy environment. Management Science, 17(4), 141-164.10.1287/mnsc.17.4.B141 Search in Google Scholar

Berger, C., Blauth, R., Boger, D., Bolster, C., Burchill, G., Dumouchel, W., Pouliot, F., Richter, R., RubinofF, A., Shen, D., Timko, M. and Walden, D. (1993). Kano’s methods for understanding customer-defined quality. Center for Quality of Management Journal, 2(4), 1-36. Search in Google Scholar

Birader, T.G., Öztüren, A. (2019). Motivators and Perceptions of Island Residents towards Medical Tourism in Mainland. Journal of Tourism and Services, 10(19): 164-176. https://doi.org/10.29036/jots.v10i19.9910.29036/jots.v10i19.99 Search in Google Scholar

Boender C. G. E., de Graan J. G., Lootsma F. A. (1989). Multicriteria decision analysis with fuzzy pairwise comparisons. Fuzzy Sets and Systems, 29(2), 133-143.10.1016/0165-0114(89)90187-5 Search in Google Scholar

Buckley J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233-247.10.1016/0165-0114(85)90090-9 Search in Google Scholar

Büyüközkan, G., Kahraman, C., & Ruan, D. (2004). A fuzzy multi-criteria decision approach for software development strategy selection. International Journal of General Systems, 33 (2-3), 259-280, http://dx.doi.org/10.1080/03081070310001633581.10.1080/03081070310001633581 Search in Google Scholar

Chen, C. H. (2019). A new multi-criteria assessment Model combining GRA techniques with intuitionistic fuzzy entropy based TOPSIS method for sustainable building materials supplier selection. Sustainability, 11, 2265.10.3390/su11082265 Search in Google Scholar

Cohen, L. (1995). Quality function deployment: How to make QFD work for you, Reading, Mass.: Addison-Wesley. Search in Google Scholar

Dağdeviren, M., Yavuz, S., & Kilinç, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36(4), 8143-815. http://dx.doi.org/10.1016/j.eswa.2008.10.016.10.1016/j.eswa.2008.10.016 Search in Google Scholar

Dima, A. & Vasilache, S. (2016).Trends in the internationalization of European higher education in a convergence perspective. Management & Marketing. Challenges for the Knowledge Society,11(2) 449-457. https://doi.org/10.1515/mmcks-2016-0008.10.1515/mmcks-2016-0008 Search in Google Scholar

Dinulescu, R., Bugheanu, A.M. (2020). Improving users’ satisfaction by implementing the analytic hierarchy process in the public transportation system. Environmental Engineering and Management Journal, 29(6), 957-968.10.30638/eemj.2020.090 Search in Google Scholar

Dobrin, D., Dinulescu, R. (2019). Integrating the Quality Function Deployment to the Romanian Healthcare System as part of a Continuous Improvement Process. Proceedings of the 34th IBIMA Conference, Madrid, Spain. Search in Google Scholar

Dos Santos, P.H., Neves, S.M., Sant’anna, D., DE oliveira, C.H., DE Carvalho, H.D., Ornaghi, D., Anna, S. (2019). The analytical hierarchy process supporting decision making for sustainable development: An overview of applications. Journal of cleaner production, 212(1), 119-138.10.1016/j.jclepro.2018.11.270 Search in Google Scholar

Dožić, S., Kalić, M. (2018). Aircraft type selection problem: application of different MCDM Methods. Advanced Concepts, Methodologies and Technologies for Transportation and Logistics. Springer International Publishing, Cham, 156–175, https://doi.org/10.1007/978-3-319-57105-8_7.10.1007/978-3-319-57105-8_7 Search in Google Scholar

Fong, D. (1996). Using the self-stated importance questionnaire to interpret Kano questionnaire results. Center for Quality of Management Journal, 5(3), 21-23. Search in Google Scholar

Gavurova, B., & Kubak, M. (2021). The importance of evaluating inpatients? satisfaction with emphasis on the aspect of confidence. Oeconomia Copernicana, 12(3), 821–848. https://doi.org/10.24136/oc.2021.027.10.24136/oc.2021.027 Search in Google Scholar

GE, Y., Xiao, M., Yang, Z., Zhang, L., HU, Z., Feng, D. (2017). An integrated logarithmic fuzzy preference programming-based methodology for optimum maintenance strategies selection. Appl. Soft Comput. 60: 591-601, https://doi.org/10.1016/j.asoc.2017.07.021.10.1016/j.asoc.2017.07.021 Search in Google Scholar

Ghorbanzadeh, O., Moslem, S., Blaschke, T., Duleba, S. (2019). Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model. Sustainability, 11(1), 9-17.10.3390/su11010009 Search in Google Scholar

Hashemkhani Zolfani, S., Ebadi Torkayesh, A., Ecer, F., Turskis, Z., & Šaparauskas, J. (2021). International market selection: a MABA based EDAS analysis framework. Oeconomia Copernicana, 12(1), 99–124. https://doi.org/10.24136/oc.2021.005.10.24136/oc.2021.005 Search in Google Scholar

Hauser, D., Tadikamalla, P. (1996). The analytic hierarchy process in an uncertain environment: A simulation approach. European Journal of Operational Research, 91(1), 27-37.10.1016/0377-2217(95)00002-X Search in Google Scholar

Heidenberger, K., Stummer, C. (1999). Research and development project selection and resource allocation: A review of quantitative Modeling approaches. International Journal of Management Reviews, 1, 197-224.10.1111/1468-2370.00012 Search in Google Scholar

Hejaili, F.F., Assad, L., Shaheen, F.A., Moussa, D.H., Karkar, A., Alrukhaimi, M., Barhamein, M., Kano, N., Seraku, K., Takahaski, F. and Tsuji, S. (1984). Attractive quality and must-be quality. Hinshitsu (Quality, The Journal of the Japanese Society for Quality Control), 14(2), 39-48. Search in Google Scholar

Hemati, M., & Ghorbanian, F. (2011). A hybrid Kano-fuzzy AHP method for measuring customer satisfaction: A case study of transportation system. Management Science Letters, 1, 263-270.10.5267/j.msl.2010.04.003 Search in Google Scholar

Ho, W., MA, X. (2018). The state-of-the-art integrations and applications of the analytic hierarchy process. European Journal of Operational Research, 267(2), 399-414.10.1016/j.ejor.2017.09.007 Search in Google Scholar

Hsu, Y. L., Hsu, C. C., & Bing, P. C. (2007). Capturing passengers’ voices: The application of Kano’s Model in the airline industry. Proceedings of the International Conference on Logistics, Shipping and Port Management, 1-14, Taiyuan. Search in Google Scholar

Janovská, K., Vozňáková, I., Besta, P., & Šafránek, M. (2021). Ecological and economic multicriteria optimization of operating alternative propulsion vehicles within the city of Ostrava in the Czech Republic. Equilibrium. Quarterly Journal of Economics and Economic Policy, 16(4), 907–943. https://doi.org/10.24136/eq.2021.034.10.24136/eq.2021.034 Search in Google Scholar

Krejčí, J., Pavlačka, O., Talašová, J. (2017). A fuzzy extension of analytic hierarchy process based on the constrained fuzzy arithmetic, Fuzzy Optimization and Decision Making 16 (1): 89-110.10.1007/s10700-016-9241-0 Search in Google Scholar

Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11, 229-241.10.1016/S0165-0114(83)80082-7 Search in Google Scholar

Lee, A., Chen, W., & Chang, C. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications, 34(1), 96-107, http://dx.doi.org/10.1016/j.eswa.2006.08.022.10.1016/j.eswa.2006.08.022 Search in Google Scholar

Leung, L. C., & Cao, D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124(1), 102-113.10.1016/S0377-2217(99)00118-6 Search in Google Scholar

Liberatore, M. J., Nydick, R.L. (2008). The analytic hierarchy process in medical and health. European Journal of Operational Research, 189, 194-207.10.1016/j.ejor.2007.05.001 Search in Google Scholar

Lloyd, R. (2004). Quality Health care: A Guide to Developing and Using Indicators, Sudbury, Massachusetts: Jones & Bartlett Publishers, Inc. Search in Google Scholar

Lustigová, Z., Jarolímková, L, Žufan, J. (2021). Evaluation of Tourist Decision-Making Process by Eye-Tracking Method – Focused on Methodology Gap and Cross-National Comparison. Journal of Tourism and Services, 22(12), 89-104. http://dx.doi.org/10.29036/jots.v12i22.25810.29036/jots.v12i22.258 Search in Google Scholar

Mark D. (2001). Adaptive AHP: a review of marketing applications with extensions. European Journal of Marketing, 35(7/8), 872-894. Search in Google Scholar

Matzler, K., & Hinterhuber, H. (1998). How to make product development projects more successful by integrating Kano’s Model of customer satisfaction into quality function deployment. Technovation, 18(1), 25-38, http://dx.doi.org/10.1016/S0166-4972(97)00072-2.10.1016/S0166-4972(97)00072-2 Search in Google Scholar

Medjoudj, R., Laifa, A., Aissani, D. (2015). Decision Making on Power Customer Satisfaction and Enterprise Profitability Analysis Using the Analytic Hierarchy Process. International Journal of Production Research, 50(17): 4793-4805. Search in Google Scholar

Mikulić, J., and Prebežac, D. (2011). A critical review of techniques for classifying quality attributes in the Kano Model. Managing Service Quality, 21(1), 46-66.10.1108/09604521111100243 Search in Google Scholar

Momani, A., Al-hawari, T., AL-Shebami, H., Al-Araidah, O. (2014). Classifying and Ranking Healthcare Quality Attributes Using Integrated Kano-Fuzzy Analytical Hierarchy Process Model. Engineering Management Research, 3(1), 68-88.10.5539/emr.v3n1p68 Search in Google Scholar

Muerza, V., DE Arcocha, D., Larrode, E., Moreno-jiménez, J.M. (2014). The Multicriteria Selection of Products in Technological Diversification Strategies: An Application to the Spanish Automotive Industry Based on AHP. Production Planning and Control, 25(1): 715-728. Search in Google Scholar

Nascimento, V., Leal, J.E. (2020). Performance criteria for Liquid Bulk Storage Terminals (LBST), using AHP. Operations Management for Social Good, Springer Proceedings in Business and Economics, 421-429.10.1007/978-3-030-23816-2_41 Search in Google Scholar

Nunes, G.S., Leal, J.E. (2020). Decision-Making Method for Facility Location for Offshore Logistic Operation Based on AHP. Operations Management for Social Good, Springer Proceedings in Business and Economics, 721-729.10.1007/978-3-030-23816-2_71 Search in Google Scholar

Pohekar, S.D., Ramachandran, M. (2004). Application of multi-criteria decision making to sustainable energy planning. Renewable and Sustainable Energy Reviews, 8, 365-381.10.1016/j.rser.2003.12.007 Search in Google Scholar

Robinson, C. (2009). Kano on customers. The Journal for Quality and Participation, 32(2), 23-25. Search in Google Scholar

Roszko-Wójtowicz, E., & Grzelak, M. M. (2021). Multi-dimensional analysis of regional investment attractiveness in Poland. Equilibrium. Quarterly Journal of Economics and Economic Policy, 16(1), 103–138. https://doi.org/10.24136/eq.2021.004; Search in Google Scholar

Saaty, T. (1980). The analytic hierarchy process, New York: McGraw-Hill.10.21236/ADA214804 Search in Google Scholar

Saaty T.L., Vargas L.G. (1991). Prediction, Projection and Forecasting, Kluwer Academic Publisher, Dordrecht.10.1007/978-94-015-7952-0 Search in Google Scholar

Salo, A. A., Hämäläinen, R. P. (1995). Preference programming through approximate ratio comparisons. European Journal of Operational Research, 82(3), 458-475.10.1016/0377-2217(93)E0224-L Search in Google Scholar

Sireli, Y., Kauffmann, P., & Ozan, E. (2007). Integration of Kano’s Model into QFD for Multiple Product Design. IEEE Transactions on Engineering Management, 54(2), 380-390, http://dx.doi.org/10.1109/TEM.2007.893990.10.1109/TEM.2007.893990 Search in Google Scholar

Skvarciany, V., Lapinskaite, I., & Volskyte, G. (2021). Circular economy as assistance for sustainable development in OECD countries. Oeconomia Copernicana, 12(1), 11–34. https://doi.org/10.24136/oc.2021.001.10.24136/oc.2021.001 Search in Google Scholar

Tong, L., Pu, Z., Ma, J. (2019). Maintenance supplier evaluation and selection for safe and sustainable production in the chemical industry: A case study. Sustainability, 11, 1533.10.3390/su11061533 Search in Google Scholar

Torra, V. (2010). Hesitant fuzzy sets. International Journal of intelligent systems, 25(6), 529-539.10.1002/int.20418 Search in Google Scholar

Vahidnia, M., Alesheikh, A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of Environmental Management, 90(10), 3048-3056. http://dx.doi.org/10.1016/j.jenvman.2009.04.010.10.1016/j.jenvman.2009.04.010 Search in Google Scholar

Vaidya, O.S., Kumar, S. (2006). Analytic Hierarchy Process: An Overview of Applications. European Journal of Operational Research, 169, 1-29.10.1016/j.ejor.2004.04.028 Search in Google Scholar

Vavrek, R., & Kovářová, E. (2021). Assessment of the social exclusion at the regional level using multi-criteria approach: evidence from the Czech Republic. Equilibrium. Quarterly Journal of Economics and Economic Policy, 16(1), 75–102. https://doi.org/10.24136/eq.2021.003.10.24136/eq.2021.003 Search in Google Scholar

Wind, Y., Saaty, T.L. (1980). Marketing applications of the Analytic Hierarchy Process. Management Science, 26(7), 641-658.10.1287/mnsc.26.7.641 Search in Google Scholar

Xie, Q., Ni, J.-Q., SU, Z. (2017). Fuzzy comprehensive evaluation of multiple environmental factors for swine building assessment and control. Journal of Hazardous Materials, 340: 463-471, https://doi.org/10.1016/j.jhazmat.2017.07.024.10.1016/j.jhazmat.2017.07.024 Search in Google Scholar

Xu, Z. S., & Chen, J. (2007). An interactive method for fuzzy multiple attribute group decision making. Information Science, 177(1), 248-263, http://dx.doi.org/10.1016/j.ins.2006.03.001.10.1016/j.ins.2006.03.001 Search in Google Scholar

Yuhua, L., Kai S. (2004). On the comprehensive evaluation of urban public transport based on gray clustering method. Journal of Harbin University, 9(6), 76-82. Search in Google Scholar

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.10.1016/S0019-9958(65)90241-X Search in Google Scholar

Zaim, S., Turkyilmaz, A., Acar, M.F., AL-turki, U. and Demirel, O.F. (2012). Maintenance strategy selection using AHP and ANP algorithms: a case study, Journal of Quality in Maintenance Engineering, 18(1), 16-29.10.1108/13552511211226166 Search in Google Scholar

Zielke, S. (2008). Exploring asymmetric effects in the formation of retail price satisfaction, Journal of Retailing and Consumer Services, 15(5), 335-347, http://dx.doi.org/10.1016/j.jretconser.2007.08.005.10.1016/j.jretconser.2007.08.005 Search in Google Scholar