基于二型模糊集的多准则群决策理论、方法及其智能评价应用研究

Type-2 fuzzy group decision-making has arisen as an active research topic in the field of fuzzy decision making theory and methodology. Current research in this area focuses on different information aggregation mechanisms based on various operation rules for interval Type-2 fuzzy sets. In-depth and systematic research has yet to be conducted on the consistency of preference information furnished by the decision-maker and group consensus building process. After addressing limitations of operation rules for Type-2 fuzzy sets in existing literature, this proposal aims to investigate consistency of Type-2 fuzzy preference relations based on operation rules for Type-2 fuzzy sets. The applicants will establish mathematical models for deriving Type-2 fuzzy priority weights for Type-2 fuzzy preference relations, testing consistency index, and repairing and adjusting inconsistent preference relations. Building upon the consistency research, the applicant will carry out research on group consensus decision models based on Type-2 fuzzy preference relations as well as the interval Type-2 fuzzy multiattribute decision framework. The applicants will develop innovative approaches to aggregating group Type-2 fuzzy decision information, ranking and selecting alternatives for group decisions.Measurement models will be furnished for assessing group consensus and interactive adjustment methods will be established to repair non-consensus decision data. These new decision technologies will be applied to study the current problems and future improvements of Peer review Models and evaluation criteria on Sciencepaper Online, an open access website in China, where research papers can be opened, browsed, downloaded for free. The online peer review mechanism, evaluation criteria, and the appropriate experts, knowledge sharing and dissemination programs of Sciencepaper Online are proposed. It is expected that this proposed research will further develop and refine Type-2 fuzzy group decision methodology, improve language information aggregation mechanisms, and play a significant role in providing a scientific framework for group decision and enhancing the quality and efficiency of intelligent evaluation of Sciencepaper Online.

二型模糊群决策问题是模糊决策理论与方法研究领域的一个热点问题，目前研究主要关注基于区间二型模糊信息集成的多准则决策问题问题，并且对决策个体给出的偏好信息一致性缺乏深入研究。本项目针对现有文献中二型模糊集运算规则存在的局限性，开展基于二型模糊集运算规则为基础的二型模糊偏好关系一致性理论研究，提出二型模糊偏好关系一致性指标检验模型和不一致修正与调整方法；进一步地，进行二型模糊偏好关系以及二型模糊多准则的群体决策方法的研究，提出二型模糊信息集成、群体方案排序或选优的新方法。基于二型模糊多准则群决策方法研究“中国科技论文在线”同行评审模式和评价标准的目前问题和未来改进措施，提出以“中国科技论文在线”为基础的在线论文评审机制、评价标准以及相应的专家选择、知识交流和传播方案。研究成果对进一步发展和完善二型模糊群决策理论与方法体系，改进语言信息集成机制，提高科技论文在线智能评审的质量与效率具有重要意义。

二型模糊群决策问题是模糊决策理论与方法研究领域的一个热点问题，目前研究主要关注。基于区间二型模糊信息集成的多准则决策问题问题。本课题研究计划要点有三点：（i）基于二型模糊集的群决策方法研究；(ii)基于二型模糊系统的决策应用；(iii)基于二型模糊系统的决策应用的结果分析三个方面。.项目完成情况：(i) 完成决策方法研究有：改进的模糊TOPSIS方法，基于混合加权集成算子的决策方法，基于优先级的多准则决策方法和属性权重信息未知情况下的多属性群决策方法等；(ii) 决策方法的应用包括：选择作为各种传输电缆的金属部件的最佳供应商的决策问题，具有优先级喜好的消费者购买汽车的决策案例；既考虑指标的重要性又考虑指标值重要性的企业挑选项目管理者的决策问题和制造公司为其在装配过程中最关键的部件寻找最佳的全球供应商的案例。（iii）提出的各种基于二型模糊集的决策技术应用到不确定环境下的决策问题，应用改进的模糊TOPSIS优化模型获得可信的决策结果，集成算子（函数）的单调性保证了决策结果的合理性，决策应用不仅包括既考虑元素重要性又考虑序关系重要性的情形，而且还包括带有优先级的实际决策问题，例如体育竞赛中采取的截首截尾的评判决策等。本项目中提出的决策技术更适合解决实践生活中遇到的决策问题。.在本课题资助下，研究论文发表总计5篇被SCI检索。从几个方面丰富了二型模糊环境下决策技术：（1） 在同量纲情形下，基于alpha水平的模糊TOPSIS决策优化模型；（2）基于Lukasiewicz三角模，解决了二型模糊集信息集成的单调性问题，这是集成函数重要的性质；（3）解决了在二型模糊集成算子中混合算术平均和有序加权平均的构造问题，并且解决了具有优先序条件的二型模糊决策问题等。最终得到5种二型模糊环境下多准则决策模型及其简单应用。在二型模糊环境下的多准则决策过程中，本项目提出的决策方法可以与其它决策方法（如基于距离的多准则决策方法、具有偏好的多准则决策方法等）进行对比，相互参考，有利于获得最终的满意决策。