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http://hdl.handle.net/1942/23122Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | DIKOPOULOU, Zoumpolia | - |
| dc.contributor.author | NAPOLES RUIZ, Gonzalo | - |
| dc.contributor.author | PAPAGEORGIOU, Elpiniki | - |
| dc.contributor.author | VANHOOF, Koen | - |
| dc.date.accessioned | 2017-02-14T11:20:46Z | - |
| dc.date.available | 2017-02-14T11:20:46Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Meier, Andreas; Portmann, Edy; Stoffel, Kilian; Teran, Luis (Ed.). Proceedings of the ICFMsquare 2016 - International Conference on Fuzzy Management Methods, Springer, p. 59-71 | - |
| dc.identifier.isbn | 9783319540481; 9783319540474 | - |
| dc.identifier.issn | 2196-4130 | - |
| dc.identifier.uri | http://hdl.handle.net/1942/23122 | - |
| dc.description.abstract | Real-life environments are inadequate to be modelled by crisp values, since hu-man reasoning is often uncertain and ambiguous. Therefore, the aggregation of fuzzy concept of decision makers is represented sufficiently with fuzzy (impre-cise) data. The purpose of this paper is the development of a powerful and useful method based on fuzzy TOPSIS which is able to aggregate judgements of 8.921 decision makers in a real fuzzy environment. The main goal of the proposed mod-ified fuzzy TOPSIS method is the efficiently ordering of a big volume of partial ranking lists related with 17 factors which are associated with the job satisfaction in fifteen different sectors. The results are very promising to continue our re-search to this direction and make further investigations. | - |
| dc.description.sponsorship | Hasselt University | - |
| dc.language.iso | en | - |
| dc.publisher | Springer International Publishing AG | - |
| dc.relation.ispartofseries | Fuzzy Management Methods | - |
| dc.rights | ICFMsquare; Springer; Server@UHasselt | - |
| dc.subject.other | fuzzy TOPSIS; aggregation of partial rankings; Borda-Kendall OWA; best non fuzzy performance | - |
| dc.title | A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings for Companies’ Attractiveness | - |
| dc.type | Proceedings Paper | - |
| local.bibliographicCitation.authors | Meier, Andreas | - |
| local.bibliographicCitation.authors | Portmann, Edy | - |
| local.bibliographicCitation.authors | Stoffel, Kilian | - |
| local.bibliographicCitation.authors | Teran, Luis | - |
| local.bibliographicCitation.conferencedate | 29-30/09/2016 | - |
| local.bibliographicCitation.conferencename | ICFMsquare 2016 - 2016 International Conference on Fuzzy Management Methods | - |
| local.bibliographicCitation.conferenceplace | Fribourg - Switzerland | - |
| dc.identifier.epage | 71 | - |
| dc.identifier.spage | 59 | - |
| local.bibliographicCitation.jcat | C1 | - |
| local.publisher.place | Cham, Switzerland | - |
| dc.relation.references | 1. Hwang, C.L., Yoon, K: .Multiple Attribute Decision Making - Methods and Applications, Springer-Verlag, Heidelberg, (1981). 2. Chen, C. T.: Extensions of the TOPSIS for group decision-making under fuzzy environ-ment, Fuzzy Sets and Systems, Volume 114, Issue 1, 16, pp 1–9, (2000). 3. Wang, Y.J., Lee, H.S.: Generalizing TOPSIS for fuzzy multiple-criteria group decision-making, Comput. Math. Appl. 53 (11), pp. 1762–1772, (2007). 4. Saremi, M., Mousavi, S.F., Sanayei, A.: TQM consultant selection in SMEs with TOPSIS under fuzzy environment, Expert Syst. Appl. 36 (8), pp. 2742–2749, (2009). 5. Torfia, F.,. Farahanib, R.Z, Rezapourd, S.: Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives, Applied Soft Computing, Volume 10, Issue 2, pp. 520–528, (2010). 6. Prakash, C., Barua, M.K.: Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment, Journal of Manufacturing Systems 37, pp. 599-615, (2015). 7. Kusumawardani, R.P., Agintiara, M.: Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment, Procedia Computer Science, Volume 72, pp. 638–646, (2015). 8. Sun, C.C.: A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods, Expert Systems with Applications, Volume 37, Issue 12, pp 7745-7754, (2010). 9. Dikopoulou, Z., Nápoles, G., Papageorgiou, E.I., Vanhoof, K.: Ranking and Aggregation of factors affecting companies’ attractiveness, 5th International Symposium on Knowledge Ac-quisition and Modelling, Atlantis Press, London, June 27-28, 2015. 10. Dikopoulou, Z., Nápoles, G., Papageorgiou, E.I., Vanhoof, K.: Multi criteria methods used for assessing for companies' attractiveness, 23rd International Conference on Multiple Crite-ria Decision Making, MCDM 2015 - Bridging Disciplines, Hamburg, August 2nd–7th, 2015. 11. Zadeh, L.A.: Fuzzy sets, Inform. Control 8, pp.338–353, (1965). 12. Zadeh, L.A.: Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans. Syst. Man Cybernet. 3, pp. 28–44, (1973). 13. Kaufmann, A., Gupta, M.M.: Introduction to Fuzzy Arithmetic: Theory and Applications, Van Nostrand Reinhold, New York, (1985). 14. Kuo, M.-S., Tzeng, G.-H., Huang, W.C.: Group decision making based on concepts of ideal and anti-ideal points in fuzzy environment, Mathematical and Computer modeling, 45(3/4), pp. 324–339, (2007). 15. Yang, T., Hung, C.C.: Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing, 23(1), pp.126–137, (2007). 16. Opricovic, S., Tzeng, G. H.: Defuzzification within a fuzzy multicriteria decision model. In-ternational Journal of Uncertainty, Fuzziness and Knowledgebased Systems, 11(5), pp. 635–652, (2003). 17. Y. M. Wang, Y. Luo, Z. S.Hua, Aggregating preference rankings using OWA operator weights, Inf. Sci. 177, pp. 3356–3363, (2007). 18. Yager, R.R., On ordered weighted averaging aggregation operators in multicriteria decision making, IEEE Transactions on Systems, Man, and Cybernetics 18, pp. 183–190, (1988). 19. Ahn, B.S., On the properties of OWA operator weights functions with constant level of or-ness, IEEE Transactions on Fuzzy Systems 14, pp. 511–515, (2006). 20. Borda, J. C., Mémoire sur les élections au scrutin. Histoire de l’Académie Royale de Sci-ence, Paris, (1784). 21. Kendall M., Rank Correction Methods, (3rd ed.), Hafner, New York (1962). 22. Kendall, M.,"A New Measure of Rank Correlation". Biometrika 30 (1–2): 81–89, (1938). | - |
| local.type.refereed | Refereed | - |
| local.type.specified | Proceedings Paper | - |
| dc.identifier.doi | 10.1007/978-3-319-54048-1_6 | - |
| dc.identifier.isi | 000418798000006 | - |
| local.bibliographicCitation.btitle | Proceedings of the ICFMsquare 2016 - International Conference on Fuzzy Management Methods | - |
| item.validation | ecoom 2019 | - |
| item.contributor | DIKOPOULOU, Zoumpolia | - |
| item.contributor | NAPOLES RUIZ, Gonzalo | - |
| item.contributor | PAPAGEORGIOU, Elpiniki | - |
| item.contributor | VANHOOF, Koen | - |
| item.accessRights | Restricted Access | - |
| item.fullcitation | DIKOPOULOU, Zoumpolia; NAPOLES RUIZ, Gonzalo; PAPAGEORGIOU, Elpiniki & VANHOOF, Koen (2017) A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings for Companies’ Attractiveness. In: Meier, Andreas; Portmann, Edy; Stoffel, Kilian; Teran, Luis (Ed.). Proceedings of the ICFMsquare 2016 - International Conference on Fuzzy Management Methods, Springer, p. 59-71. | - |
| item.fulltext | With Fulltext | - |
| Appears in Collections: | Research publications | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| A modified fuzzy TOPSIS method aggregating big data of partial rankings for company’s attractiveness (proceedings).pdf Restricted Access | Peer-reviewed author version | 9.41 MB | Adobe PDF | View/Open Request a copy |
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