Criteria definition for digital requirements using hesitant fuzzy linguistic terms sets: an application to the automotive industry

Pietro Fronte, Núria Agell*, Marc Torrens, Diana Mesa

*Corresponding author for this work

Research output: Indexed journal article Articlepeer-review

Abstract

Managing a portfolio of digital products is challenging, particularly in a context of limited economic resources and workforce. Therefore, prioritization of activities and new developments is crucial. In Software Development environment, almost all well-known prioritization techniques are based on experts’ knowledge and opinion, leaving little room for a data-driven, objective approach. In this paper, we propose a methodology that adopts the Delphi framework and Hesitant Fuzzy Linguistic Term Sets for collecting experts’ opinions, evaluating perceived importance, and computing group consensus. The objective is to provide a framework to define a group-consensual set of relevant criteria that would represent the basis for a data-driven prioritization process for digital requirements. Implementation and results from a real case application in a European automotive company are presented to understand the relevance of criteria and suggest their inclusion or exclusion for prioritization purposes.

Original languageEnglish
Article number110803
JournalAnnals of Operations Research
Early online dateDec 2024
DOIs
Publication statusE-pub ahead of print - Dec 2024

Keywords

  • Automotive
  • Business value
  • Consensus measure
  • Hesitant fuzzy linguistic term sets
  • Prioritization

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