Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology

[1] Albino, V., Berardi, U., Dangelico, R. M., Smart cities: Definitions, dimensions, performance, and initiatives, Journal of Urban Technology, 22, 1, 2015, 3-21. Search in Google Scholar

[2] Prasad, D., & Alizadeh, T., What makes Indian cities smart? A policy analysis of smart cities mission, Telematics and Informatics, 55, 2020, 101466. Search in Google Scholar

[3] Hartawan, M. S., Putra, A. S., Muktiono, A., Smart City concept for integrated citizen information smart card or ICISC in DKI Jakarta, International Journal of Science, Technology & Management, 1, 4, 2020, 364-370. Search in Google Scholar

[4] Su, K., Li, J., Fu, H., Smart city and the applications, 2011 International Conference on Electronics, Communications and Control (ICECC), 2011, 1028-1031. Search in Google Scholar

[5] Dameri, R. P., Benevolo, C., Veglianti, E., & Li, Y., Understanding smart cities as a glocal strategy: A comparison between Italy and China, Technological Forecasting and Social Change, 142, 2019, 26-41. Search in Google Scholar

[6] Anand, A., Rufuss, D. D. W., Rajkumar, V., & Suganthi, L., Evaluation of sustainability indicators in smart cities for India using MCDM approach, Energy Procedia, 141, 2017, 211-215. Search in Google Scholar

[7] Vishnivetskaya, A., Alexandrova, E., “Smart city” concept. Implementation practice, IOP Conference Series: Materials Science and Engineering, 497, 2019, 012019. Search in Google Scholar

[8] Novotný, R., Kuchta, R., Kadlec, J., Smart city concept, applications and services, Journal of Telecommunications System & Management, 3, 2, 2014, 1-5. Search in Google Scholar

[9] Lombardi, P., Giordano, S., Farouh, H., Yousef, W., Modelling the smart city performance, Innovation: The European Journal of Social Science Research, 25, 2, 2012, 137-149. Search in Google Scholar

[10] SCI (2021), https://www.planbe.com.gr/news/smart-city-index-2021, Date of access: 24.01.2022. Search in Google Scholar

[11] Karabašević, D., Stanujkić, D., & Urošević, S., The MCDM Model for Personnel Selection Based on SWARA and ARAS Methods, Management (1820-0222), 20, 77, 2015. Search in Google Scholar

[12] Velasquez, M., Hester, P. T., An analysis of multi-criteria decision making methods, International Journal of Operations Research, 10, 2, 2013, 56-66. Search in Google Scholar

[13] Garg, H., Agarwal, N., Tripathi, A., Entropy based multi-criteria decision making method under fuzzy environment and unknown attribute weights, Global Journal of Technology and Optimization, 6, 3, 2015,13-20. Search in Google Scholar

[14] Chen, C. H., A novel multi-criteria decision-making model for building material supplier selection based on entropy-AHP weighted TOPSIS, Entropy, 22, 2, 2020, 259. Search in Google Scholar

[15] Zavadskas, E., & Turskis, Z., A new additive ratio assesment (ARAS) method in multicriteria decision-making, Technological and Economic Development of Economy, 16, 2, 2010, 159-172. Search in Google Scholar

[16] Dashore, K., Pawar, S. S., Sohani, N., Verma, D. S., Product evaluation using entropy and multi criteria decision making methods, International Journal of Engineering Trend and Technology (IJETT), 4, 5, 2013, 183-2187. Search in Google Scholar

[17] Büyüközkan, G., & Güler, M., Smart watch evaluation with integrated hesitant fuzzy linguistic SAW-ARAS technique, Measurement, 153, 107353. Search in Google Scholar

[18] Mulliner, E., Smallbone, K., & Maliene, V., An assessment of sustainable housing affordability using a multiple criteria decision making method, Omega, 41, 2, 2013, 270-279. Search in Google Scholar

[19] Stanković, J., Džunić, M., Džunić, Ž., & Marinković, S., A multi-criteria evaluation of the European cities’ smart performance: Economic, social and environmental aspects. Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu, 35, 2, 2017, 519-550. Search in Google Scholar

[20] Shen, L., Huang, Z., Wong, S. W., Liao, S., Lou, Y., A holistic evaluation of smart city performance in the context of China, Journal of Cleaner Production, 200, 2018, 667-679. Search in Google Scholar

[21] Zhu, S., Li, D., Feng, H., Is smart city resilient? Evidence from China, Sustainable Cities and Society, 50, 2019, 101636. Search in Google Scholar

[22] Sojda, A., Smart city index based on topsis method, Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska, 148, 2020, 709-718. Search in Google Scholar

[23] Nasution, N., Bhawika, G. W., Wanto, A., Ginantra, N. L. W. S. R., Afriliansyah, T., Smart City Recommendations Using the TOPSIS Method, IOP Conference Series: Materials Science and Engineering, 846, 2020, 012028. Search in Google Scholar

[24] Ozkaya, G., & Erdin, C., Evaluation of smart and sustainable cities through a hybrid MCDM approach based on ANP and TOPSIS technique, Heliyon, 6, 10, 2020, e05052. Search in Google Scholar

[25] Ogrodnik, K., Multi-criteria analysis of smart cities in Poland, Geographia Polonica, 93, 2, 2020, 163-181. Search in Google Scholar

[26] Sotirelis, P., Nakopoulos, P., Valvi, T., Grigoroudis, E., Carayannis, E., Measuring smart city performance: A multiple criteria decision analysis approach, Journal of the Knowledge Economy, 2021, 1-29. Search in Google Scholar

[27] Koca, G., Egilmez, O., Akcakaya, O., Evaluation of the smart city: Applying the dematel technique, Telematics and Informatics, 62, 2021, 101625. Search in Google Scholar

[28] Hajduk, S., & Jelonek, D., A decision-making approach based on TOPSIS method for ranking smart cities in the context of urban energy, Energies, 14, 9, 2021, 2691. Search in Google Scholar

[29] Hajduk, S., Multi-Criteria Analysis of smart cities on the example of the Polish Cities, Resources, 10, 5, 2021, 44. Search in Google Scholar

[30] Ye, F., Chen, Y., Li, L., Li, Y., & Yin, Y., Multi-criteria decision-making models for smart city ranking: Evidence from the Pearl River Delta region, China, Cities, 128, 2022, 103793. Search in Google Scholar

[31] Popovic, G., Stanujkic, D., & Stojanovic, S., Investment project selection by applying COPRAS method and imprecise data, Serbian Journal of Management, 7, 2, 2012, 257-269. Search in Google Scholar

[32] Makhesana, M. A., Application of improved complex proportional assessment (COPRAS) method for rapid prototyping system selection, Rapid Prototyping Journal. 21, 6, 2015, 671-674. Search in Google Scholar

[33] Adalı, E. A., & Işık, A. T., Air conditioner selection problem with COPRAS and ARAS methods. Manas Sosyal Araştırmalar Dergisi, 5, 2, 2016, 124-138. Search in Google Scholar

[34] Săraru, C. Ș., Selection of the optimum artificial lift method, on the Basis of ARAS, COPRAS and TOPSIS Models, Petroleum-Gas University of Ploiesti Bulletin, Technical Series, 68, 2, 2016. Search in Google Scholar

[35] Karabasevic, D., Paunkovic, J., & Stanujkic, D., Ranking of companies according to the indicators of corporate social responsibility based on SWARA and ARAS methods, Serbian Journal of Management, 11, 1, 2016, 43-53. Search in Google Scholar

[36] Singaravel, B., Shankar, D. P., & Prasanna, L., Application of MCDM method for the selection of optimum process parameters in turning process. Materials Today: Proceedings, 5, 5, 2018, 13464-13471. Search in Google Scholar

[37] Goswami, S. S., & Behera, D. K., Solving material handling equipment selection problems in an industry with the help of entropy integrated COPRAS and ARAS MCDM techniques, Process Integration and Optimization for Sustainability, 5, 4, 2021, 947-973. Search in Google Scholar

[38] Lalić, S., Jovičić, Ž., & Lukić, R., Application of the COPRAS Method in the evaluation of trade efficiency in Serbia, Economy and Market Communication Review, 22, 2, 2021, 497-509. Search in Google Scholar

[39] Gök-Kısa, A. C., Çelik, P., & Peker, İ., Performance evaluation of privatized ports by entropy based TOPSIS and ARAS approach, Benchmarking: An International Journal, 29, 1, 2021, 18-135. Search in Google Scholar

[40] Nweze, S., & Achebo, J., Comparative enhancement of mild steel weld mechanical properties for better performance using COPRAS–ARAS Method, European Journal of Engineering and Technology Research, 6, 2, 2021, 70-74. Search in Google Scholar

[41] Gorgulu, Y., Ozceylan, E., & Ozkan, B., UI GreenMetric Ranking of Turkish Universities using Entropy Weight and COPRAS Methods. Proceedings of the International Conference on Industrial Engineering and Operations Management Bangalore, India, August 16-18, 2021, 1156-1165. Search in Google Scholar

[42] Karadağ Ak, Ö., Hazar, A., & Babuşcu, Ş., Evaluation of the financial performance of development and investment banks with entropy-based ARAS method, Macroeconomics and Finance in Emerging Market Economies, 2022, 1-21. Search in Google Scholar

[43] Karande, P., Zavadskas, E., & Chakraborty, S., A study on the ranking performance of some MCDM methods for industrial robot selection problems, International Journal of Industrial Engineering Computations, 7, 3, 2016, 399-422. Search in Google Scholar

[44] Mousavi-Nasab, S. H., & Sotoudeh-Anvari, A., A comprehensive MCDM-based approach using TOPSIS, COPRAS and DEA as an auxiliary tool for material selection problems, Materials & Design, 121, 2017, 237-253. Search in Google Scholar

[45] Aruldoss, M., Lakshmi, T. M., Venkatesan, V. P., A survey on multi criteria decision making methods and its applications, American Journal of Information Systems, 1,1, 2013, 31-43. Search in Google Scholar

[46] Alao, M. A., Ayodele, T. R., Ogunjuyigbe, A. S. O., Popoola, O. M., Multi-criteria decision based waste to energy technology selection using entropy-weighted TOPSIS technique: The case study of Lagos, Nigeria, Energy, 201, 2020, 117675. Search in Google Scholar

[47] Bein, B., Entropy, Best Practice & Research Clinical Anaesthesiology, 20(1), 2006, 101-109. Search in Google Scholar

[48] Zhang, H., Gu, C. L., Gu, L. W., Zhang, Y., The evaluation of tourism destination competitiveness by TOPSIS & information entropy-A case in the Yangtze River Delta of China, Tourism Management, 32, 2, 2011, 443-451. Search in Google Scholar

[49] Hussain, S. A. I., Mandal, U. K., Entropy based MCDM approach for selection of material, National Level Conference on Engineering Problems and Application of Mathematics, 2016, 1-6. Search in Google Scholar

[50] Gandotra, N., Kizielewicz, B., Anand, A., Bączkiewicz, A., Shekhovtsov, A., Wątróbski, J., Rezaei, A., Sałabun, W., New pythagorean entropy measure with application in multi-criteria decision analysis, Entropy, 23, 12, 1600. Search in Google Scholar

[51] Sahoo, S., Choudhury, B., Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique, Decision Science Letters, 11, 1, 2022, 21-34. Search in Google Scholar

[52] Vaid, S. K., Vaid, G., Kaur, S., Kumar, R., Sidhu, M. S., Application of multi-criteria decision-making theory with VIKOR-WASPAS-Entropy methods: A case study of silent Genset, Materials Today: Proceedings, 50, 2022, 2416-2423. Search in Google Scholar

[53] Kildienė, S., Kaklauskas, A., Zavadskas, E. K., COPRAS based comparative analysis of the European country management capabilities within the construction sector in the time of crisis, Journal of Business Economics and Management, 12, 2, 2011, 417-434. Search in Google Scholar

[54] Zavadskas, E. K., Kaklauskas, A., Vilutiene, T., Multicriteria evaluation of apartment blocks maintenance contractors: Lithuanian case study, International Journal of Strategic Property Management, 13, 4, 2009, 319-338. Search in Google Scholar

[55] Stanojkovic, J., Radovanovic, M., Selection of drill for drilling with high pressure coolant using entropy and copras MCDM method, UPB Sci. Bull. Ser. D Mech. Eng., 79, 4, 2017, 199-204. Search in Google Scholar

[56] Yazdani, M., Jahan, A., Zavadskas, E., Analysis in material selection: Influence of normalization tools on COPRAS-G, Economic Computation & Economic Cybernetics Studies & Research, 51, 1, 2017, 59-74. Search in Google Scholar

[57] Chatterjee, P., Athawale, V. M., Chakraborty, S., Materials selection using complex proportional assessment and evaluation of mixed data methods, Materials & Design, 32, 2, 2011, 851-860. Search in Google Scholar

[58] Hezer, S., Gelmez, E., Özceylan, E., Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment, Journal of Infection and Public Health, 14, 6, 2021, 775-786. Search in Google Scholar

[59] Liu, N., & Xu, Z., An overview of ARAS method: Theory development, application extension, and future challenge. International Journal of Intelligent Systems, 36, 7, 2021, 3524-3565. Search in Google Scholar

[60] Sivalingam, V., Kumar, P. G., Prabakaran, R., Sun, J., Velraj, R., & Kim, S. C., An automotive radiator with multi-walled carbon-based nanofluids: A study on heat transfer optimization using MCDM techniques, Case Studies in Thermal Engineering, 29, 2022, 101724. Search in Google Scholar

[61] Dahooie, H., J., Kazimieras Zavadskas, E., Abolhasani, M., Vanaki, A., & Turskis, Z., A novel approach for evaluation of projects using an interval–valued fuzzy additive ratio assessment (ARAS) method: a case study of oil and gas well drilling projects, Symmetry, 10, 2, 2019, 45. Search in Google Scholar

[62] Sliogeriene, J., Turskis, Z., & Streimikiene, D., Analysis and choice of energy generation technologies: The multiple criteria assessment on the case study of Lithuania, Energy Procedia, 32, 2013, 11-20. Search in Google Scholar