Skip to main content
SpringerLink
Log in

Supporting multi-criteria decision-making across websites: the Logikós approach

  • Published:
Central European Journal of Operations Research Aims and scope Submit manuscript

Abstract

Online customers frequently conduct activities that involve multi-criteria decision-making. They analyze and compare alternatives considering a set of shared characteristics. Websites present the information of products without special support for these activities. Moreover, the products of interest for the customer are frequently scattered across various shops, with no support to collect and compare them in a consistent and customized manner. We argue that multi-criteria decision-making methods (such as Analytic Hierarchy Process) can be effectively offered to online customers. In this article, we present an approach and supporting tools to enable multi-criteria decision-making on any website and across websites. They are based on web-augmentation to extract information items from websites, and the Analytic Hierarchy Process (AHP) to model multi-criteria decisions. The approach and tools were experimentally evaluated with end-users in two different countries. An illustrative scenario provides insight into the application of the approach and the role of the supporting tools. Evaluation showed that users appreciate creating AHP models specific to their needs, and trust the decisions they make using these models. Participants were reluctant to trust reusable decision profiles (i.e., AHP models created by other users). The numerous pairwise comparisons required by AHP in the presence of multiple criteria and alternatives, was reported as a drawback. However, participants indicated that the proposed smart-ranking functionality represented a good mechanism to cope with it.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

Availability of data and material

Not applicable.

Notes

  1. http://www.trivago.com Last accessed December 2018.

References

  • Adlin T, Pruitt J (2010) The essential persona lifecycle: your guide to building and using personas. Morgan Kaufmann

  • Afridi AH (2019) Transparency for beyond-accuracy experiences: a novel user interface for recommender systems. Proc Comput Sci 151:335–344. In: The 10th international conference on ambient systems, networks and technologies (ANT 2019)/the 2nd international conference on emerging data and industry 4.0 (EDI40 2019)/affiliated workshops

  • Akarte M, Surendra N, Ravi B, Rangaraj N (2001) Web based casting supplier evaluation using analytical hierarchy process. J Oper Res Soc 52(5):511–522

    Article  Google Scholar 

  • Antoniou G, Harmelen FV (2004) A semantic web primer, volume 57 of cooperative information systems. The MIT Press

  • Bosetti G, Firmenich S, Rossi G, Winckler M, Barbieri T (2016) Web objects ambient: an integrated platform supporting new kinds of personal web experiences. In: International conference on web engineering, pp 563–566. Springer

  • Brans J-P, Mareschal B (2005) Promethee methods, chapter 5. Springer, New York, pp 163–186

    Google Scholar 

  • Choudhury M, Srinivasan K (2019) An overview into the aspects of fake product reviews, its manipulation, and its effects and monitoring. In: 2019 IEEE international conference on consumer electronics—Taiwan, ICCE-TW 2019

  • Conlisk J (1980) Costly optimizers versus cheap imitators. J Econ Behav Organ 1(3):275–293

    Article  Google Scholar 

  • Díaz O (2012) Understanding web augmentation. In: International conference on web engineering, pp 79–80. Springer

  • Firmenich S, Bosetti G, Rossi G, Winckler M, Barbieri T (2016) Abstracting and structuring web contents for supporting personal web experiences. In: International conference on web engineering, pp 77–95. Springer

  • Fomba S (2018) Décision multicritère : un système de recommandation pour le choix de l’opérateur d’agrégation. PhD thesis, University of Toulouse

  • Ishizaka A, Nemery P (2013) Multi-criteria decision analysis: methods and software. Wiley, Hoboken

    Book  Google Scholar 

  • Mu E, Pereyra-Rojas M (2017) Practical decision making. An introduction to the analytic hierarchy process (AHP) using super decision v2. Springer International Publishing, Berlin

  • Offerman T, Sonnemans J (1998) Learning by experience and learning by imitating successful others. J Econ Behav Organ 34(4):559–575

    Article  Google Scholar 

  • Pingle M (1992) Costly optimization: an experiment. J Econ Behav Organ 17(1):3–30

    Article  Google Scholar 

  • Pingle M (1995) Imitation versus rationality: an experimental perspective on decision making. J Soc Econ 24(2):281–315

    Article  Google Scholar 

  • Pingle M, Day RH (1996) Modes of economizing behavior: experimental evidence. J Econ Behav Organ 29(2):191–209

    Article  Google Scholar 

  • Quinn AJ, Bederson BB (2014) Asksheet: efficient human computation for decision making with spreadsheets. In: Proceedings of the 17th ACM conference on computer supported cooperative work and social computing - CSCW ’14, pp 1456–1466

  • Roy B (1991) The outranking approach and the foundations of electre methods. Theor Decis 31(1):49–73

    Article  Google Scholar 

  • Russo RFSM, Camanho R (2015) Criteria in AHP: a systematic review of literature. Proc Comput Sci 55:1123–1132

    Article  Google Scholar 

  • Saaty TL (2004) Decision making—the analytic hierarchy and network processes (AHP/ANP). J Syst Sci Syst Eng 13(1):1–35

    Article  Google Scholar 

  • Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci

  • Simon HA (1955) A behavioral model of rational choice. Quart J Econ

  • Simon HA (1956) Rational choice and the structure of the environment. Psychol Rev

  • Sugeno M (1974) Theory of fuzzy integrals and its applications. PhD thesis, Tokyo Institute of Technology

  • Vargas LG (1990) An overview of the analytic hierarchy process and its applications. Eur J Oper Res 48(1):2–8 Desicion making by the analytic hierarchy process: Theory and applications

    Article  Google Scholar 

  • Zaraté P, Kilgour DM, Hipel K (2016) Private or common criteria in a multi-criteria group decision support system: an experiment. In: Yuizono T, Ogata H, Hoppe U, Vassileva J (eds) Collaboration and technology. Springer International Publishing, Cham, pp 1–12

    Google Scholar 

Download references

Acknowledgements

The authors acknowledge the contribution of RUC- APS: (www.ruc-aps.eu), funded by the European Union under their funding scheme H2020-MSCA-RISE-2015.

Funding

The design and development of the methods and tools reported in this article were funded by Universidad National de La Plata (La Plata, Argentina). The experiments and reporting activities were jointly funded by Universidad Nacional de La Plata (Argentina), Toulouse 1 University Capitole (Toulouse, France), and the European Union [RUC-APS Project, Grant 691249, funding scheme H2020-MSCA-RISE-2015].

Author information

Authors and Affiliations

  1. LIFIA, Facultad de Informática, UNLP, Comisión de Investigaciones Científicas de la Provincia de Buenos Aires, Calle 50 y 120, 1900, La Plata, Argentina

    Alejandro Fernandez, Juan Cruz Gardey & Gabriela Bosetti

  2. IRIT, Toulouse 1 University Capitole, 2 rue du Doyen Gabriel Marty, 31042, Toulouse Cedex 9, France

    Pascale Zaraté

Authors
  1. Alejandro Fernandez
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pascale Zaraté
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Juan Cruz Gardey
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Gabriela Bosetti
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pascale Zaraté.

Ethics declarations

Conflict of interest

There are no relevant financial or non-financial competing interests to report.

Code availability

Logikós source code is available under MIT license at: https://bitbucket.org/logikos-web/.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fernandez, A., Zaraté, P., Gardey, J.C. et al. Supporting multi-criteria decision-making across websites: the Logikós approach. Cent Eur J Oper Res 29, 201–225 (2021). https://doi.org/10.1007/s10100-020-00723-4

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10100-020-00723-4

Keywords

Search

Navigation