A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness

Zoumpolia Dikopoulou; Gonzalo Nápoles; Elpiniki Papageorgiou; Koen Vanhoof

doi:10.1007/978-3-319-54048-1_6

A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness

Zoumpolia Dikopoulou^*, Gonzalo Nápoles, Elpiniki Papageorgiou, Koen Vanhoof

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

Abstract

Real-life environments are inadequate to be modelled by crisp values, since human reasoning is often uncertain and ambiguous. Therefore, the aggregation of fuzzy concept of decision makers is represented sufficiently with fuzzy (imprecise) 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 modified 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 research to this direction and make further investigations.

Original language	English
Title of host publication	The Application of Fuzzy Logic for Managerial Decision Making Processes: Latest Research and Case Studies
Editors	Andreas Meier, Edy Portmann, Kilian Stoffel, Luis Terán
Place of Publication	Cham
Publisher	Springer International Publishing
Pages	59-71
Number of pages	13
ISBN (Print)	978-3-319-54048-1
DOIs	https://doi.org/10.1007/978-3-319-54048-1_6
Publication status	Published - 2017
Externally published	Yes

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10.1007/978-3-319-54048-1_6

Cite this

Dikopoulou, Z., Nápoles, G., Papageorgiou, E., & Vanhoof, K. (2017). A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness. In A. Meier, E. Portmann, K. Stoffel, & L. Terán (Eds.), The Application of Fuzzy Logic for Managerial Decision Making Processes: Latest Research and Case Studies (pp. 59-71). Springer International Publishing. https://doi.org/10.1007/978-3-319-54048-1_6

Dikopoulou, Zoumpolia ; Nápoles, Gonzalo ; Papageorgiou, Elpiniki et al. / A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness. The Application of Fuzzy Logic for Managerial Decision Making Processes: Latest Research and Case Studies. editor / Andreas Meier ; Edy Portmann ; Kilian Stoffel ; Luis Terán. Cham : Springer International Publishing, 2017. pp. 59-71

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abstract = "Real-life environments are inadequate to be modelled by crisp values, since human reasoning is often uncertain and ambiguous. Therefore, the aggregation of fuzzy concept of decision makers is represented sufficiently with fuzzy (imprecise) 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 modified 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 research to this direction and make further investigations.",

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Dikopoulou, Z, Nápoles, G, Papageorgiou, E & Vanhoof, K 2017, A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness. in A Meier, E Portmann, K Stoffel & L Terán (eds), The Application of Fuzzy Logic for Managerial Decision Making Processes: Latest Research and Case Studies. Springer International Publishing, Cham, pp. 59-71. https://doi.org/10.1007/978-3-319-54048-1_6

A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness. / Dikopoulou, Zoumpolia; Nápoles, Gonzalo; Papageorgiou, Elpiniki et al.
The Application of Fuzzy Logic for Managerial Decision Making Processes: Latest Research and Case Studies. ed. / Andreas Meier; Edy Portmann; Kilian Stoffel; Luis Terán. Cham: Springer International Publishing, 2017. p. 59-71.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

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AU - Vanhoof, Koen

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AB - Real-life environments are inadequate to be modelled by crisp values, since human reasoning is often uncertain and ambiguous. Therefore, the aggregation of fuzzy concept of decision makers is represented sufficiently with fuzzy (imprecise) 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 modified 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 research to this direction and make further investigations.

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Dikopoulou Z, Nápoles G, Papageorgiou E, Vanhoof K. A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness. In Meier A, Portmann E, Stoffel K, Terán L, editors, The Application of Fuzzy Logic for Managerial Decision Making Processes: Latest Research and Case Studies. Cham: Springer International Publishing. 2017. p. 59-71 doi: 10.1007/978-3-319-54048-1_6

A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness

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