Earticle

초록

영어

An intuitionistic hesitant fuzzy set (IHFS) consists of hesitancy function intuitionistic fuzzy elements, which consists the membership degree and the non membership degree, supporting a more exemplary and flexible access to assign values for each element in the domain, and can handle this kind of hesitancy in this situation. It can be seen as a powerful tool to express uncertain information in the process of group recommendation. Therefore, we propose a correlation coefficient between IHFSs as a further extension of existing correlation coefficients for hesitant fuzzy sets and intuitionistic fuzzy sets and apply it to group recommendation under intuitionistic hesitant fuzzy environments. Through the weighted correlation coefficient between each item and the ideal item, the ranking order of all items can be identified and the best item can be easily identified as well. Finally, a practical example of a movie recommendation is given to demonstrate the practicality and effectiveness of the developed approach.

목차

Abstract
 1. Introduction
 2. Preliminaries
  2.1. Intuitionistic Fuzzy Sets
  2.2. Hesitant fuzzy sets
  2.3. Correlation coefficients of IFSs
  2.4. Correlation coefficients of HFSs
 3. Correlation and Clustering Algorithm for Intuitionistic Hesitant Fuzzy Sets
 4. Correlation Coefficients of IHFSs’ Applications
  4.1. Clustering Algorithm for IHFSs
  4.2. Correlation Coefficient for Group Recommendation
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Xiuming Chen [ School of Management, Hefei University of Technology, Hefei 230001, China, School of Information Engineering, Anhui Xinhua University, Hefei 230088, China ]
• Yezheng Liu [ School of Management, Hefei University of Technology, Hefei 230001, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605