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首页> 外文会议>Artificial Intelligence on Fashion and Textiles Conference >Multiple Criteria Group Decision-Making Based on Hesitant Fuzzy Linguistic Consensus Model for Fashion Sales Forecasting
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Multiple Criteria Group Decision-Making Based on Hesitant Fuzzy Linguistic Consensus Model for Fashion Sales Forecasting

机译：基于犹豫不决的模糊语言共识模型的多重标准组决策

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In many real-world multiple criteria group decision-making process, people cannot provide accurate preference information over a set of alternatives because of the increasingly complex environment. Fashion sales forecasting can be taken as a multi-criteria group decision-making problem given that people need to consider product life cycle, year-on-year growth rate, seasonal factor, industry factor, and consumer factor comprehensively when they forecast the fashion scales. In this paper, we developed a fuzzy linguistic model for fashion sales forecasting. Approaches such as hesitant fuzzy linguistic preference relation and ordinal consensus measure are used in our paper. Decision-makers compare alternatives over each criterion and the ranking of alternatives can be derived. Based on the ranking provided by the decisionmakers, we introduce the ordinal consensus of the group. Then, a consensus reaching process is given to raise the degree of consensus.
机译：在许多现实世界多标准组决策过程中，由于环境越来越复杂，人们无法通过一组替代方案提供准确的偏好信息。鉴于人们需要考虑产品生命周期，同比增长率，季节性因素，行业因素和消费因素，可以将时尚销售预测作为多标准组决策问题。 。在本文中，我们开发了一种模糊语言语言模型，适合时尚销售预测。我们的论文中使用了犹豫不决的模糊语言偏好关系和序数共识措施等方法。决策者比较每个标准的替代方案，可以派生替代品的排名。根据决策者提供的排名，我们介绍了本集团的序数共识。然后，给出了达成的过程，提高了共识的程度。

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