Prioritizing the Weights of the Evaluation Criteria Under Fuzziness: the Fuzzy Full Consistency Method – Fucom-F

Abstract

Values, opinions, perceptions, and experiences are the forces that drive almost each and every kind of decision-making. Evaluation criteria are considered as sources of information used to compare alternatives and, as a result, make selection easier. Seeing their direct effect on the solution, weighting methods that most accurately determine criteria weights are needed. Unfortunately, the crisp values are insufficient to model real life problems due to the lack of complete information and the vagueness arising from linguistic assessments of decision-makers. Therefore, this paper proposes a novel subjective weighting method called the Fuzzy Full Consistency Method (FUCOM-F) for determining weights as accurately as possible under fuzziness. The most prominent feature of the proposed method is obtaining the most accurate weight values with very few pairwise comparisons. Consequently, thanks to this model, consistency and reliability of the results increase while the processing time and effort decrease. Moreover, an illustrative example related to the green supplier evaluation problem is performed. Finally, the robustness and effectiveness of the proposed fuzzy model is demonstrated by comparing it with fuzzy best-worst method (F-BWM) and fuzzy AHP (F-AHP) models.

“A multi-tier sustainable food supplier selection model under uncertainty”

“…Each linguistic variable can be represented by triangular fuzzy numbers (TFN) , which is further represented by the following membership function (MF) (Pamucar and Ecer 2020 ): …”

Geospatial Decision-Making Framework Based on the Concept of Satisficing

“…BWM [13,14] and its fuzzy variant FBWM [15,16] use an approach similar to AHP but instead of comparing each criteria with all the others, the decision maker identifies the most important (best) and least important (worst) criteria and then conducts pairwise comparisons between each of these two criteria and the other criteria, significantly reducing the number of comparisons. FUCOM and its fuzzy variant, Fuzzy Full Consistency Method (FUCOM-F), further reduce the number of comparisons to only n-1, and yield more consistent results than both AHP and BWM [17,18].…”

Performance evaluation of an insurance company using an integrated Balanced Scorecard (BSC) and Best-Worst Method (BWM)

“…after identifying the decision criteria, two criteria are selected as the best decision criterion and the worst decision criterion by the decision-makers or experts. The best criterion is the one that has the most important and crucial role in making the decision, while the worst criterion has the opposite significance (Pamucar & Ecer, 2020). The decision-makers then give their preferences of the best decision criterion over all the others and also their preferences of all the other criteria over the worst decision criterion using a number from a predefined scale of 1 to 9.…”