计算机科学 ›› 2018, Vol. 45 ›› Issue (1): 148-151.doi: 10.11896/j.issn.1002-137X.2018.01.025

• 第十六届中国机器学习会议 • 上一篇    下一篇

带偏好度量的直觉模糊序决策信息系统的部分一致约简

林冰雁,徐伟华,杨倩   

  1. 重庆理工大学理学院 重庆400054,重庆理工大学理学院 重庆400054,重庆理工大学理学院 重庆400054
  • 出版日期:2018-01-15 发布日期:2018-11-13
  • 基金资助:
    本文受国家自然科学基金(61472463,61402064),重庆市自然科学基金(cstc2015jcyjA40053),重庆市研究生科研创新基金(CYS17281),重庆理工大学研究生创新基金(YCX2016227)资助

Partially Consistent Reduction in Intuitionistic Fuzzy Ordered Decision Information Systems with Preference Measure

LIN Bing-yan, XU Wei-hua and YANG Qian   

  • Online:2018-01-15 Published:2018-11-13

摘要: 现实生活中,不同的需求导致许多信息系统的属性值是基于直觉模糊数的。针对这一现象,在加权得分函数的基础上建立了一种直觉模糊序关系,并给出了不协调带偏好度量的直觉模糊序决策信息系统。进一步,在该复杂系统中引入了部分一致函数,并通过部分一致可辨识矩阵研究求解部分一致约简的方法。最后,通过案例分析验证了该方法的可行性与有效性。

关键词: 粗糙集,直觉模糊集,序信息系统,加权得分函数,部分一致约简

Abstract: In real life,the attribute values of many information systems are based on intuitionistic fuzzy numbers because of different needs.In view of this phenomenon,an intuitionistic fuzzy order relation was established on the basis of the weighted score function and an inconsistent intuitionistic fuzzy ordered decision information system with preference measure was proposed.Furthermore,the partial consistent function was introduced into the complex system,and the method of solving partially consistent reduction was studied by the partially consistent discernibility matrix.Finally,the feasibility and effectiveness of the proposed method were verified by a case.

Key words: Rough set,Intuitionistic fuzzy set,Ordered information system,Weighted score function,Partially consistent reduction

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