Research Article
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Year 2020, Volume: 9 Issue: 2, 97 - 117, 30.06.2020
https://doi.org/10.17261/Pressacademia.2020.1217

Abstract

References

  • Bazzazi, A. A., Osanloo, M., and Karimi, B. (2011). Deriving preference order of open pit mines equipment through MADM methods: Application of modified VIKOR method. Expert Systems with Applications, 38(3), 2550-2556.
  • Chakraborty, S., and Zavadskas, E. K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1-20.
  • Chakraborty, S., Zavadskas, E. K., and Antucheviciene, J. (2015). Applications of WASPAS Method as a Multi-Criteria Decision-Making Tool. Economic Computation and Economic Cybernetics Studies and Research, 49(1).
  • Datta, S., Mahapatra, S. S., Banerjee, S., and Bandyopadhyay, A. (2010). Comparative study on application of utility concept and VIKOR method for vendor selection.
  • Deveci, M., Canıtez, F., and Gökaşar, I. (2018). WASPAS and TOPSIS Based Interval Type-2 Fuzzy MCDM Method for a Selection of a Car-sharing Station. Sustainable Cities and Society, 41, 777-791.
  • Devi, K. (2011). Extension of VIKOR method in intuitionistic fuzzy environment for robot selection. Expert Systems with Applications, 38(11), 14163-14168.
  • Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., and Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213-229.
  • Ju, Y., and Wang, A. (2013). Extension of VIKOR Method for Multi-Criteria Group Decision Making Problem with Linguistic İnformation. Applied Mathematical Modelling, 37(5), 3112-3125.
  • Karabašević, D., Stanujkić, D., Urošević, S., and Maksimović, M. (2016). An approach to personnel selection based on SWARA and WASPAS methods. Bizinfo (Blace) Journal of Economics, Management, and Informatics, 7(1), 1-11.
  • Keshavarz Ghorabaee, M., Amiri, M., Kazimieras Zavadskas, E., and Antuchevičienė, J. (2017). Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets. Transport, 32(1), 66-78.
  • Liu, P., and Wu, X. (2012). A Competency Evaluation Method of Human Resources Managers Based on Multi-Granularity Linguistic Variables and VIKOR Method. Technological and Economic Development of Economy, 18(4), 696-710.
  • Madić, M., Gecevska, V., Radovanović, M., and Petković, D. (2014). Multi-criteria economic analysis of machining processes using the WASPAS method. Journal of Production Engineering, 17(2), 1-6.
  • Opricovic, S. (2016). A comparative analysis of the DEA-CCR model and the VIKOR method. Yugoslav Journal of Operations Research, 18(2).
  • Opricovic, S., and Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
  • Rezaie, K., Ramiyani, S. S., Nazari-Shirkouhi, S., and Badizadeh, A. (2014). Evaluating performance of Iranian cement firms using an integrated fuzzy AHP–VIKOR method. Applied Mathematical Modelling, 38(21-22), 5033-5046.
  • Stanujkić, D., and Karabašević, D. (2018). An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy numbers: a case of website evaluation. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 29-39.
  • Stojić, G., Stević, Ž., Antuchevičienė, J., Pamučar, D., and Vasiljević, M. (2018). A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products. Information, 9(5), 121.
  • Tong, L. I., Chen, C. C., and Wang, C. H. (2007). Optimization of multi-response processes using the VIKOR method. The International Journal of Advanced Manufacturing Technology, 31(11-12), 1049-1057.
  • Urosevic, S., Karabasevic, D., Stanujkic, D., and Maksimovic, M. (2017). An Approach to Personnel Selection in the Tourism Industry Based on the SWARA and the WASPAS Methods. Economic Computation and Economic Cybernetics Studies and Research, 51(1).
  • Zavadskas, E. K., Antucheviciene, J., Hajiagha, S. H. R., and Hashemi, S. S. (2014). Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF). Applied Soft Computing, 24, 1013-1021.
  • Zavadskas, E. K., Chakraborty, S., Bhattacharyya, O., and Antuchevciene, J. (2015b). Application of WASPAS method as an optimization tool in non-traditional machining processes. Information Technology and Control, 44(1), 77-88.
  • Zavadskas, E., Baušys, R., and Lazauskas, M. (2015a). Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 7(12), 15923-15936.
  • Zhang, X., and Xing, X. (2017). Probabilistic linguistic VIKOR method to evaluate green supply chain initiatives. Sustainability, 9(7), 1231

A COMPARISON OF THE CITY LIFE QUALITY INDEX FOR EUROPEAN CITIES USING THE WASPAS AND VIKOR METHODS

Year 2020, Volume: 9 Issue: 2, 97 - 117, 30.06.2020
https://doi.org/10.17261/Pressacademia.2020.1217

Abstract

Purpose- The main purpose of this study was to compare the results of the city life quality index using the WASPAS and VIKOR methods, two of the multi-criteria decision-making methods.
Methodology- For this, in the first stage, a decision matrix was created. In the second stage, the ranking results obtained from WASPAS and VIKOR methods were compared with each other. In the final stage, the results obtained from the methods were compared with the results of the life quality index ranking.
Findings- When the findings were examined, there was a strong positive relationship between the methods used and the values obtained. Accordingly, there was a positive relationship between the WASPAS and VIKOR methods, demonstrating that the two methods can be used interchangeably. The same strong relationship was also valid for the life quality index.
Conclusion- Accordingly, the life quality index calculations and the WASPAS and VIKOR calculations provided very similar results. The results were found to be statistically significant.

References

  • Bazzazi, A. A., Osanloo, M., and Karimi, B. (2011). Deriving preference order of open pit mines equipment through MADM methods: Application of modified VIKOR method. Expert Systems with Applications, 38(3), 2550-2556.
  • Chakraborty, S., and Zavadskas, E. K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1-20.
  • Chakraborty, S., Zavadskas, E. K., and Antucheviciene, J. (2015). Applications of WASPAS Method as a Multi-Criteria Decision-Making Tool. Economic Computation and Economic Cybernetics Studies and Research, 49(1).
  • Datta, S., Mahapatra, S. S., Banerjee, S., and Bandyopadhyay, A. (2010). Comparative study on application of utility concept and VIKOR method for vendor selection.
  • Deveci, M., Canıtez, F., and Gökaşar, I. (2018). WASPAS and TOPSIS Based Interval Type-2 Fuzzy MCDM Method for a Selection of a Car-sharing Station. Sustainable Cities and Society, 41, 777-791.
  • Devi, K. (2011). Extension of VIKOR method in intuitionistic fuzzy environment for robot selection. Expert Systems with Applications, 38(11), 14163-14168.
  • Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., and Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213-229.
  • Ju, Y., and Wang, A. (2013). Extension of VIKOR Method for Multi-Criteria Group Decision Making Problem with Linguistic İnformation. Applied Mathematical Modelling, 37(5), 3112-3125.
  • Karabašević, D., Stanujkić, D., Urošević, S., and Maksimović, M. (2016). An approach to personnel selection based on SWARA and WASPAS methods. Bizinfo (Blace) Journal of Economics, Management, and Informatics, 7(1), 1-11.
  • Keshavarz Ghorabaee, M., Amiri, M., Kazimieras Zavadskas, E., and Antuchevičienė, J. (2017). Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets. Transport, 32(1), 66-78.
  • Liu, P., and Wu, X. (2012). A Competency Evaluation Method of Human Resources Managers Based on Multi-Granularity Linguistic Variables and VIKOR Method. Technological and Economic Development of Economy, 18(4), 696-710.
  • Madić, M., Gecevska, V., Radovanović, M., and Petković, D. (2014). Multi-criteria economic analysis of machining processes using the WASPAS method. Journal of Production Engineering, 17(2), 1-6.
  • Opricovic, S. (2016). A comparative analysis of the DEA-CCR model and the VIKOR method. Yugoslav Journal of Operations Research, 18(2).
  • Opricovic, S., and Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
  • Rezaie, K., Ramiyani, S. S., Nazari-Shirkouhi, S., and Badizadeh, A. (2014). Evaluating performance of Iranian cement firms using an integrated fuzzy AHP–VIKOR method. Applied Mathematical Modelling, 38(21-22), 5033-5046.
  • Stanujkić, D., and Karabašević, D. (2018). An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy numbers: a case of website evaluation. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 29-39.
  • Stojić, G., Stević, Ž., Antuchevičienė, J., Pamučar, D., and Vasiljević, M. (2018). A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products. Information, 9(5), 121.
  • Tong, L. I., Chen, C. C., and Wang, C. H. (2007). Optimization of multi-response processes using the VIKOR method. The International Journal of Advanced Manufacturing Technology, 31(11-12), 1049-1057.
  • Urosevic, S., Karabasevic, D., Stanujkic, D., and Maksimovic, M. (2017). An Approach to Personnel Selection in the Tourism Industry Based on the SWARA and the WASPAS Methods. Economic Computation and Economic Cybernetics Studies and Research, 51(1).
  • Zavadskas, E. K., Antucheviciene, J., Hajiagha, S. H. R., and Hashemi, S. S. (2014). Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF). Applied Soft Computing, 24, 1013-1021.
  • Zavadskas, E. K., Chakraborty, S., Bhattacharyya, O., and Antuchevciene, J. (2015b). Application of WASPAS method as an optimization tool in non-traditional machining processes. Information Technology and Control, 44(1), 77-88.
  • Zavadskas, E., Baušys, R., and Lazauskas, M. (2015a). Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 7(12), 15923-15936.
  • Zhang, X., and Xing, X. (2017). Probabilistic linguistic VIKOR method to evaluate green supply chain initiatives. Sustainability, 9(7), 1231
There are 23 citations in total.

Details

Primary Language English
Subjects Finance, Business Administration
Journal Section Articles
Authors

Hakan Altın This is me 0000-0002-0012-0016

Publication Date June 30, 2020
Published in Issue Year 2020 Volume: 9 Issue: 2

Cite

APA Altın, H. (2020). A COMPARISON OF THE CITY LIFE QUALITY INDEX FOR EUROPEAN CITIES USING THE WASPAS AND VIKOR METHODS. Journal of Business Economics and Finance, 9(2), 97-117. https://doi.org/10.17261/Pressacademia.2020.1217

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