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Linguistic fuzzy consensus model for collaborative development of fuzzy cognitive maps: a case study in software development risks

Author

Listed:
  • Carmen Maio

    (University of Salerno)

  • Giuseppe Fenza

    (University of Salerno)

  • Vincenzo Loia

    (University of Salerno)

  • Francesco Orciuoli

    (University of Salerno)

Abstract

Fuzzy cognitive maps (FCMs) have been widely used in several domains for information processing, such as, data fusion, decision making. Although several methods to automatically learn FCMs are recognized from the scientific literature, the most used approach to build an FCM relies on a collaborative task involving single person or, more suitably, group of experts. Collaborative development increases reliability and robustness of the resulting FCM, but rises some problems in terms of group decision making to aggregate different perspectives of the problem representation. This paper proposes to support collaborative development of FCMs introducing knowledge engineering process that relies on Linguistic Fuzzy Consensus Model. In the proposed approach, each expert builds the own version of the FCM. When all different versions are available, a Group Decision Making process is activated in order to reach the consensus on conflictual modeling opinions. The result is a unique final version of the FCM that is not a simple aggregation of the versions provided by the experts but is the result of a well-suited mathematical model. In addition, this work adopts consensus model with incomplete preference relations scheme to address knowledge harmonization issues. Finally, advantages and the limitations of the proposed framework are argued.

Suggested Citation

  • Carmen Maio & Giuseppe Fenza & Vincenzo Loia & Francesco Orciuoli, 2017. "Linguistic fuzzy consensus model for collaborative development of fuzzy cognitive maps: a case study in software development risks," Fuzzy Optimization and Decision Making, Springer, vol. 16(4), pages 463-479, December.
    • Handle: RePEc:spr:fuzodm:v:16:y:2017:i:4:d:10.1007_s10700-016-9259-3
    DOI: 10.1007/s10700-016-9259-3
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    References listed on IDEAS

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    1. Gray, Steven & Chan, Alex & Clark, Dan & Jordan, Rebecca, 2012. "Modeling the integration of stakeholder knowledge in social–ecological decision-making: Benefits and limitations to knowledge diversity," Ecological Modelling, Elsevier, vol. 229(C), pages 88-96.
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    Cited by:

    1. Dheeraj Kumar Joshi & Ismat Beg & Sanjay Kumar, 2018. "Hesitant Probabilistic Fuzzy Linguistic Sets with Applications in Multi-Criteria Group Decision Making Problems," Mathematics, MDPI, vol. 6(4), pages 1-20, March.

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