Abstract
TOPSIS and VIKOR are two well-known and widely-used multiple attribute decision making methods. Many researchers have compared the results obtained from both methods in various application domains. In this paper, we present the implementation of a web-based decision support system that incorporates TOPSIS and VIKOR and allows decision makers to compare the results obtained from both methods. Decision makers can easily upload the input data and get thorough illustrative results. Moreover, different techniques are available for each step of these methods. A real-world case study on social sustainability in agriculture is presented to highlight the key features of the implemented system. The aim of this study is to classify and rank the rural areas of Central Macedonia in Northern Greece using a set of eight social sustainability indicators.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Tzeng, G.H., Huang, J.J.: Multiple Attribute Decision Making: Methods and Applications. CRC Press, Boca Raton (2011)
Zanakis, S.H., Solomon, A., Wishart, N., Dublish, S.: Multi-attribute decision making: a simulation comparison of select methods. Eur. J. Oper. Res. 107(3), 507–529 (1998)
Opricovic, S., Tzeng, G.H.: Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur. J. Oper. Res. 156(2), 445–455 (2004)
Opricovic, S., Tzeng, G.H.: Extended VIKOR method in comparison with outranking methods. Eur. J. Oper. Res. 178(2), 514–529 (2007)
Chu, M.T., Shyu, J., Tzeng, G.H., Khosla, R.: Comparison among three analytical methods for knowledge communities group-decision analysis. Expert Syst. Appl. 33(4), 1011–1024 (2007)
Guitouni, A., Martel, J.M.: Tentative guidelines to help choosing an appropriate MCDA method. Eur. J. Oper. Res. 109(2), 501–521 (1998)
Roy, B., Slowiński, R.: Questions guiding the choice of a multicriteria decision aiding method. EURO J. Decis. Processes 1(1–2), 69–97 (2013)
Özcan, T., Çelebi, N., Esnaf, Ş.: Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Syst. Appl. 38(8), 9773–9779 (2011)
Kurka, T., Blackwood, D.: Selection of MCA methods to support decision making for renewable energy developments. Renew. Sustain. Energy Rev. 27, 225–233 (2013)
Mendoza, G.A., Martins, H.: Multi-criteria decision analysis in natural resource management: a critical review of methods and new modelling paradigms. For. Ecol. Manag. 230(1), 1–22 (2006)
Yoon, K.P.: System Selection by Multiple Attribute Decision Making. Ph.D. Dissertation, Kansas State University, Manhattan, KS (1980)
Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making - Methods and Applications. Springer, Heidelberg (1981)
Behzadian, M., Otaghsara, S.K., Yazdani, M., Ignatius, J.: A state-of the-art survey of TOPSIS applications. Expert Syst. Appl. 39(17), 13051–13069 (2012)
Khorshidi, R., Hassani, A.: Comparative analysis between TOPSIS and PSI methods of materials selection to achieve a desirable combination of strength and workability in Al/SiC composite. Mater. Des. 52, 999–1010 (2013)
Alimoradi, A., Yussuf, R.M., Zulkifli, N.: A hybrid model for remanufacturing facility location problem in a closed-loop supply chain. Int. J. Sustain. Eng. 4(1), 16–23 (2011)
Krohling, R.A., Campanharo, V.C.: Fuzzy TOPSIS for group decision making: a case study for accidents with oil spill in the sea. Expert Syst. Appl. 38(4), 4190–4197 (2011)
Liao, C.N., Kao, H.P.: An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management. Expert Syst. Appl. 38(9), 10803–10811 (2011)
Zavadskas, E.K., Antucheviciene, J.: Development of an indicator model and ranking of sustainable revitalization alternatives of derelict property: a Lithuanian case study. Sustain. Dev. 14(5), 287–299 (2006)
Hsu, C.H., Wang, F.K., Tzeng, G.H.: The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR. Resour. Conserv. Recycl. 66, 95–111 (2012)
Shemshadi, A., Shirazi, H., Toreihi, M., Tarokh, M.J.: A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Syst. Appl. 38(10), 12160–12167 (2011)
Caterino, N., Iervolino, I., Manfredi, G., Cosenza, E.: Comparative analysis of multi-criteria decision-making methods for seismic structural retrofitting. Comput. Aided Civ. Infrastruct. Eng. 24(6), 432–445 (2009)
Tzeng, G.H., Huang, C.Y.: Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems. Ann. Oper. Res. 197(1), 159–190 (2012)
Chang, C.L., Hsu, C.H.: Multi-criteria analysis via the VIKOR method for prioritizing land-use restraint strategies in the Tseng-Wen reservoir watershed. J. Environ. Manag. 90(11), 3226–3230 (2009)
Opricovic, S.: Fuzzy VIKOR with an application to water resources planning. Expert Syst. Appl. 38(10), 12983–12990 (2011)
Opricovic, S.: A compromise solution in water resources planning. Water Resour. Manag. 23(8), 1549–1561 (2009)
OECD: OECD Factbook: Economic Environmental and Social Statistics. OECD Publishing (2014)
EU LFS: Eurostat Labour Force Survey Glossary. Online Publication (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Papathanasiou, J., Ploskas, N., Bournaris, T., Manos, B. (2016). A Decision Support System for Multiple Criteria Alternative Ranking Using TOPSIS and VIKOR: A Case Study on Social Sustainability in Agriculture. In: Liu, S., Delibašić, B., Oderanti, F. (eds) Decision Support Systems VI - Addressing Sustainability and Societal Challenges. ICDSST 2016. Lecture Notes in Business Information Processing, vol 250. Springer, Cham. https://doi.org/10.1007/978-3-319-32877-5_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-32877-5_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32876-8
Online ISBN: 978-3-319-32877-5
eBook Packages: Computer ScienceComputer Science (R0)