Probabilistic Linguistic-Based Group DEMATEL Method with Both Positive and Negative Influences

Decision-making trial and evaluation laboratory (DEMATEL) is a widely accepted factor analysis algorithm for complex systems. The rationality of the evaluation scale is the basis of sound DEMATEL decision-making. Unfortunately, the existing evaluation scales of DEMATEL failed to reasonably distinguish and describe the positive and negative influences between factors. Generally, the positive and negative influences between factors should be considered at the same time. In other words, negative influence between factors should not be directly ignored, which is improper and unrealistic. To better address this issue, we extend the evaluation scale of DEMATEL. We also integrate the scale-based group DEMATEL method with probabilistic linguistic term sets (PLTSs) to increase its effectiveness, which allows experts to express incomplete and uncertain linguistic preferences in DEMATEL decision-making. An experts' subjective weight adjustment method based on the similarity degree between PLTSs is introduced to determine experts' weights. Finally, an algorithm of probabilistic linguistic-based group DEMATEL method with both positive and negative influences is summarized, and an example is used to illustrate the proposed method and demonstrate its superiority. Our results demonstrate that the method proposed in this paper deals reasonably with realistic problems.

Automated summary

DEMATEL is a factor analysis algorithm widely used for complex systems, and the rationality of its decision-making relies on the accuracy of the evaluation scale. Existing evaluation scales fail to distinguish and describe the positive and negative influences between factors, which should be considered simultaneously. The proposed method extends the evaluation scale, integrates it with PLTSs, introduces a weight adjustment method, and summarizes a probabilistic linguistic group DEMATEL method with both positive and negative influences.