Double Fuzzy Probabilistic Interval Linguistic Term Set and a Dynamic Fuzzy Decision Making Model based on Markov Process with tts Application in Multiple Criteria Group Decision Making
arXiv:2111.15255v2 Announce Type: replace-cross Abstract: The probabilistic linguistic term has been proposed to deal with probability distributions in provided linguistic evaluations. However, because it has some fundamental defects, it is often difficult for decision-makers to get reasonable information of linguistic evaluations for group decision making. In addition, weight information plays a significant role in dynamic information fusion and decision making process. However, there are few research methods to determine the dynamic attribute weight with time. In this paper, I propose the co
This academic paper was published recently on arXiv, continuing ongoing research in specialized AI methods.
It describes a highly technical, niche improvement in fuzzy decision-making models, which is not directly relevant to broader strategic intelligence.
No significant changes are indicated for strategic readers; it refines existing theoretical AI frameworks.
Further academic research in fuzzy logic and group decision-making may incorporate these theoretical advancements.
Potentially, in the very long term, more robust AI decision systems could emerge if such theoretical work finds practical, scalable application.
The abstract nature of this work makes substantial practical or societal impact highly speculative at this stage.
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