Case Studies Repository

The development of a suite of tools is very important but it is not enough if users cannot use it to verify its performance with real datasets in order to make comparisons with either their own proposals or problems. In this section, you can find a repository of case studies and datasets for different decision making problems with linguistic and complex frameworks that can be solved by using FLINTSTONES.

 

 


Each case study is associated with its datasets for  FLINTSTONES that includes the definition of the evaluation framework and the set of assessments provided by experts. Furthermore, each case study is associated with the research paper in which the use of the 2-tuple linguistic representation model or any of its extensions has been applied to it successfully. The repository is not closed, it is open to increase in a future.

The case studies of the repository are categorized by the type of complex framework

Due to the fact that the results shown in each the research paper were calculated manually or through software tools in beta version, sometimes, there are slight variations in the results shown in the associated papers and the results provided by the FLINTSTONES software tool. Therefore, the valid results of the datasets are generated by the FLINTSTONES software tool.

 


Multi-granular context

QoS Services

Investment company - Flexible Framework

  • Associated Paper: M. Espinilla, J. Liu, L. Martínez, An Extended Hierarchical Linguistic Model for Decision-Making Problems. Computational Intelligence, vol. 27, issue 3, pp. 489-512, 2011.
  • DataSet File dataset
  • Features Dataset:
    • Multi-Experts: 4 experts
    • Single-Criteria: preference
    • Alternatives: 4 alternatives
    • Expression Domain: Multiple linguistic scales
      • Linguistic scale with 3 labels
      • Linguistic scale with 5 labels
      • Linguistic scale with 7 labels

Investment company

Olive Oil Sensory Evaluation

  • Associated Paper:L. Martínez, M. Espinilla, L.G. Pérez, A Linguistic Multigranular Sensory Evaluation Model for Olive Oil. International Journal of Computational Intelligence Systems, vol. 1, issue 2, pp. 148-158, 2008.
  • DataSet File dataset
  • Features Dataset:
    • Multi-Experts: 8 tasters
    • Multi-Criteria: 9 sensory features
    • Alternatives: 1 olive oil sample
    • Expression Domain: Multiple linguistic scales
      • Linguistic scale with 5 labels
      • Linguistic scale with 9 labels

Heterogeneous contexts

360-degree performance appraisal

Sustainable energy evaluation

ERP system evaluation

  • Associated Paper: P.J. Sánchez, L. Martínez, C. García, F. Herrera, E. Herrera-Viedma, A Fuzzy Model to Evaluate the Suitability of Installing an ERP System.Information Sciences, vol. 179, issue 14, pp. 2333-2341, 2009.
  • DataSet File dataset
  • Features Dataset:
    • Multi-Experts: 4 experts
    • Single-Criteria: 1 criterion
    • Alternatives: 9 alternatives
    • Expression Domain: Heterogeneous information
      • Numeric
      • Interval
      • Linguistic scale with 5 labels
      • Linguistic scale with 7 labels
      • Linguistic scale with 9 labels

Unbalanced linguistic context

Grading systems

Olive Oil Sensory Evaluation. Unbalanced Linguistic Scale

Hesitant Fuzzy Linguistic Term Set

Manager of garment company. Hesitant Fuzzy Linguistic Term Set

  • Paper is submitted to FUZZ-IEEE 2014:Francisco J. Estrella, Rosa M. Rodriguez, Macarena Espinilla and Luis Martinez. On the use of Hesitant Fuzzy Linguistic Term Set in FLINTSTONES.
  • DataSet File dataset
  • Features Dataset:
    • Experts: 1 expert
    • Multi-Criteria: 3 criteria
    • Alternatives: 3 alternatives
    • Expression Domain: Hesitant Fuzzy Linguistic Term Sets.