Evaluating the satisfaction level of citizens in municipality services by using picture fuzzy VIKOR method: 2014-2019 period analysis
DOI:
https://doi.org/10.31181/dmame181221001yKeywords:
Picture Fuzzy Sets, VIKOR, Municipal Services, SatisfactionAbstract
In this study, it is aimed to rank the satisfaction levels of the municipality services. For this purpose, 20 municipal services included in the Life Satisfaction Survey (LSS) that the Turkish Statistical Institution regularly applies every year are considered as alternatives. In addition, the satisfaction of citizens was evaluated not only for the last year, but also for the period of 2014-2019, and these years were considered as a set of criteria. LSS statistics contains the citizens' responses which involve such opinion as abstain and refusal besides yes or no answers. For analyze the effect of all types of opinions on decision process, the participant responses constituting the dataset were converted into Picture Fuzzy Numbers (PFNs) consisting of 4 parameters (positive, neutral, negative, and refusal). Finally, we apply utilize VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method by using PFNs arithmetic operators and evaluate the citizens’ satisfaction levels of the municipality services. As a result, it was determined that the municipal services with the highest satisfaction were graveyard (A18) and fire-fighting (A17) activities, while the services with the lowest satisfaction were zoning and city planning (A10) and control of food producing facilities (A20).
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Abdel-Basset, M., Zhou, Y., Mohamed, M., & Chang, V. (2018). A group decision making framework based on neutrosophic VIKOR approach for e-government website evaluation. Journal of Intelligent & Fuzzy Systems, 34(6), 4213-4224.
Akram, M., Al-Kenani, A. N., & Alcantud, J. C. R. (2019). Group decision-making based on the VIKOR method with trapezoidal bipolar fuzzy information. Symmetry, 11(10), 1313.
Akyildiz, F. (2012). Belediye hizmetleri ve vatandaş memnuniyeti: Uşak Belediyesi örneği. Journal of Yaşar University, 7(26), 4415-4436.
Ali, Z., & Mahmood, T. (2020). Picture Hesitant Fuzzy Generalized Dice Similarity Measures and Their Application in Pattern Recognition. Technical Journal, 25(03), 73-94.
Ansari, M., Hosseini, R. S., & Sharifi, M. (2016). Evaluating and rating the performance of Qazvin municipalities, using the Balanced Scorecard (BSC) model, with Fuzzy Multi-Criteria Decision-Making (FMCDM) approach. International Journal of Humanities and Cultural Studies, 3(2), 185-197.
Ashraf, S., Abdullah, S., Mahmood, T., & Aslam, M. (2019). Cleaner production evaluation in gold mines using novel distance measure method with cubic picture fuzzy numbers. International Journal of Fuzzy Systems, 21(8), 2448-2461.
Ashraf, S., Mahmood, T., Abdullah, S., & Khan, Q. (2019a). Different approaches to multi-criteria group decision making problems for picture fuzzy environment. Bulletin of the Brazilian Mathematical Society, New Series, 50(2), 373-397.
Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96.
Awasthi, A., Chauhan, S. S., Omrani, H., & Panahi, A. (2011). A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Computers & Industrial Engineering, 61(3), 637-646.
Bayram, M., & Polat, M. E. (2021). Belediyecilik Hizmetlerinin Fonksiyonel ve Teknik Kalitesinin Vatandaşlarının Genel Memnuniyet Algısı Üzerindeki Etkisi. International Journal of Management and Administration, 5(9), 83-102.
Bilişik, Ö. N., Erdoğan, M., Kaya, İ., & Baraçlı, H. (2013). A hybrid fuzzy methodology to evaluate customer satisfaction in a public transportation system for Istanbul. Total Quality Management & Business Excellence, 24(9-10), 1141-1159.
Biswas, S. (2020). Measuring performance of healthcare supply chains in India: A comparative analysis of multi-criteria decision making methods. Decision Making: Applications in Management and Engineering, 3(2), 162-189.
Biswas, S., Bandyopadhyay, G., Guha, B., & Bhattacharjee, M. (2019). An ensemble approach for portfolio selection in a multi-criteria decision making framework. Decision Making: Applications in Management and Engineering, 2(2), 138-158.
Biswas, S., Majumder, S., Pamucar, D., & Dawn, S. K. (2021). An Extended LBWA Framework in Picture Fuzzy Environment Using Actual Score Measures Application in Social Enterprise Systems. International Journal of Enterprise Information Systems, 17(4), 37-68.
Bostancı, B. (2019). Mapping of environmental consciousness levels of university students: an application in Turkey. Arabian Journal of Geosciences, 12, 1-11.
Bostancı, B., & Erdem, N. (2020). Investigating the satisfaction of citizens in municipality services using fuzzy modelling. Socio-Economic Planning Sciences, 69, 100754.
Celik, E., Bilisik, O. N., Erdogan, M., Gumus, A. T., & Baracli, H. (2013). An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul. Transportation Research Part E: Logistics and Transportation Review, 58, 28-51.
Cuong, B. C., & Kreinovich, V. (2014). Picture fuzzy sets. Journal of Computer Science and Cybernetics, 30(4), 409-420.
Dincer, H., & Hacioglu, U. (2013). Performance evaluation with fuzzy VIKOR and AHP method based on customer satisfaction in Turkish banking sector. Kybernetes.
Dutta, P. (2018). Medical Diagnosis Based on Distance Measures Between Picture Fuzzy Sets. International Journal of Fuzzy System Applications, 7(4), 15–36. doi:10.4018/ijfsa.2018100102
Folz, D. H. (2004). Service quality and benchmarking the performance of municipal services. Public Administration Review, 64(2), 209-220.
Göküş, M., & Alptürker, H. (2011). Belediyelerin sunduğu hizmetlerde vatandaş memnuniyeti: Silifke Belediyesi örneği. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (25), 121-133.
Gul, M., Ak, M. F., & Guneri, A. F. (2019). Pythagorean fuzzy VIKOR-based approach for safety risk assessment in mine industry. Journal of Safety Research, 69, 135-153.
İnce, M., & Şahin, K. (2011). Belediye hizmetlerinde vatandaş memnuniyeti ölçümü: Selçuklu Belediyesi örneği. Sosyal Ekonomik Araştırmalar Dergisi, 11(21), 1-22.
Jovčić, S., Simić, V., Průša, P., & Dobrodolac, M. (2020). Picture Fuzzy ARAS Method for Freight Distribution Concept Selection. Symmetry, 12(7), 1062. 1-23. doi:10.3390/sym12071062
Kang, D., & Park, Y. (2014). based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach. Expert Systems with Applications, 41(4), 1041-1050.
Kelly, J. M., & Swindell, D. (2002). A multiple–indicator approach to municipal service evaluation: Correlating performance measurement and citizen satisfaction across jurisdictions. Public administration review, 62(5), 610-621.
Krishankumar, R., Premaladha, J., Ravichandran, K. S., Sekar, K. R., Manikandan, R., & Gao, X. Z. (2020). A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem. Soft Computing, 24(2), 1063-1081.
Kutlu Gündoğdu, F., & Kahraman, C. (2019). A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection. Journal of Intelligent & Fuzzy Systems, 37(1), 1197-1211.
Kutlu Gündoğdu, F., Kahraman, C., & Karaşan, A. (2020). Spherical fuzzy VIKOR method and its application to waste management. In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019 (pp. 997-1005). Springer International Publishing.
Lin, M., Huang, C., & Xu, Z. (2020). MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment. Sustainable cities and society, 53, 101873.
Mahmood, T. (2020). A Novel Approach towards Bipolar Soft Sets and Their Applications, Journal of Mathematics, vol. 2020, Article ID 4690808, 1-11. doi:10.1155/2020/4690808
Mahmood, T., & Ali, Z. (2020). The fuzzy cross-entropy for picture hesitant fuzzy sets and their application in multi criteria decision making. Punjab University Journal of Mathematics, 52(10), 55-82.
Mahmood, T., Ullah, K., Khan, Q., & Jan, N. (2019). An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets. Neural Computing and Applications, 31(11), 7041-7053.
Meksavang, P., Shi, H., Lin, S. M., & Liu, H. C. (2019). An extended picture fuzzy VIKOR approach for sustainable supplier management and its application in the beef industry. Symmetry, 11(4), 468.
Nassereddine, M., & Eskandari, H. (2017). An integrated MCDM approach to evaluate public transportation systems in Tehran. Transportation Research Part A: Policy and Practice, 106, 427-439.
Opricovic, S. (1998). Visekriterijumska optimizacija u građevinarstvu-Multi-criteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade.
Ozdogan, S., Yildizbasi, A., & Rouyendegh, B. D. (2020). Performance evaluation of municipal services with fuzzy multi-criteria decision making approaches: a case study from Turkey. Applied Sciences, 2(6), 1-12.
Pamučar, D., Žižović, M., Biswas, S., & Božanić, D. (2021). A new logarithm methodology of additive weights (lmaw) for multi-criteria decision-making: application in logistics. Facta Universitatis, Series: Mechanical Engineering. 19(3), 361-380.
Parkouhi, S. V., & Ghadikolaei, A. S. (2017). A resilience approach for supplier selection: Using Fuzzy Analytic Network Process and grey VIKOR techniques. Journal of Cleaner Production, 161, 431-451.
Pehlivan, N. Y., & Gürsoy, Z. (2019). Determination of individuals’ life satisfaction levels living in Turkey by FMCDM methods. Kybernetes. 48(8), 1871-1893.
Pramanik, P. K. D., Biswas, S., Pal, S., Marinković, D., & Choudhury, P. (2021). A Comparative Analysis of Multi-Criteria Decision-Making Methods for Resource Selection in Mobile Crowd Computing. Symmetry, 13(9), 1713 1-51. Doi: 10.3390/sym13091713
Qin, J., Liu, X., & Pedrycz, W. (2015). An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment. Knowledge-Based Systems, 86, 116-130.
Rahimi, M., & Najafi, A. (2016). Analysis of Customer's Expectations and Satisfaction in the Zanjan Municipality Using Fuzzy Multi-Criteria Decision Making (FMCDM) Approach. Journal of Optimization in Industrial Engineering, 10(21), 47-57.
Sabuncu, İ. (2016). Belediye Hizmetlerinde Vatandaş Memnuniyet Araştırması: Yalova Örneği. Turkish Journal of Marketing, 1(3), 164-177.
Si, A., Das, S., & Kar, S. (2019). An approach to rank picture fuzzy numbers for decision making problems. Decision Making: Applications in Management and Engineering, 2(2), 54-64. doi:10.31181/dmame1902049s
Tiwari, V., Jain, P. K., & Tandon, P. (2016). Product design concept evaluation using rough sets and VIKOR method. Advanced Engineering Informatics, 30(1), 16-25.
Wang, C., Zhou, X., Tu, H., & Tao, S. (2017). Some geometric aggregation operators based on picture fuzzy sets and their application in multiple attribute decision making. Ital. J. Pure Appl. Math, 37, 477-492.
Wang, H., Pan, X., & He, S. (2019). A new interval type-2 fuzzy VIKOR method for multi-attribute decision making. International Journal of Fuzzy Systems, 21(1), 145-156.
Wei, G. (2018). Picture Fuzzy Hamacher Aggregation Operators and their Application to Multiple Attribute Decision Making. Fundamenta Informaticae, 157(3), 271–320. doi:10.3233/fi-2018-1628
Yıldırım, U. (2004). Yeni belediye yasaları çerçevesinde alternatif hizmet sunma yöntemleri. Çağdaş Yerel Yönetimler, 13(4), 19-37.
Yücel, N., Yücel, A., & Atlı, Y. (2012). Belediyelerin sunduğu hizmetlerde vatandaş memnuniyeti: Elazığ Belediyesi örneği. Electronic Journal of Vocational Colleges, 2(2), 31-41.
Zhang, F., Luo, L., Liao, H., Zhu, T., Shi, Y., & Shen, W. (2016). Inpatient admission assessment in West China Hospital based on hesitant fuzzy linguistic VIKOR method. Journal of Intelligent & Fuzzy Systems, 30(6), 3143-3154.
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