PulseAugur
EN
LIVE 08:06:59

New fuzzy logic framework enhances group decision-making with dynamic weighting

By PulseAugur Editorial · [1 sources] ·

This paper introduces a new framework called the Double Fuzzy Probabilistic Interval Linguistic Term Set (DFPILTS) to address limitations in existing probabilistic linguistic term methods for group decision-making. The proposed DFPILTS aims to provide richer information for decision-makers by defining fuzzy semantic integration, preference relationships, and aggregation operators. It also incorporates a fuzzy linguistic Markov matrix and a dynamic attribute weight determination method based on information entropy and distance measures to handle time-varying data and achieve group consensus, illustrated with an investment risk case study. AI

IMPACT Introduces a novel fuzzy logic framework that could improve AI-driven decision support systems in complex, multi-criteria scenarios.

RANK_REASON The cluster contains an academic paper detailing a new methodology for fuzzy decision-making. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New fuzzy logic framework enhances group decision-making with dynamic weighting

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zongmin Liu ·

    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 …

RELATED ENTITIES

RELATED TOPICS