Evaluating Collaboration Ability of R&D Team Members: A Multi-Granular Hesitant Fuzzy Linguistic Approach
- 10.2991/eusflat-19.2019.5How to use a DOI?
- Collaboration ability evaluation R&D Hesitant fuzzy linguistic term set
Evaluating each member's collaboration ability in an R\&D team is of vital importance for senior managers to improve the team performance for R&D activities. Due to the difference in knowledge and education background, each team member usually tends to use multi-granular hesitant fuzzy linguistic term sets to elicit their assessments over team members who have working relationship with him/her with respect to each criterion. In this paper, a multi-granular hesitant fuzzy linguistic approach is developed to evaluate the collaboration ability of R&D team members. In the proposed approach, all the individual multi-granular hesitant fuzzy linguistic assessments provided by each team member with respect to each criterion are first transformed into their fuzzy envelopes and then aggregated to obtain the overall assessment of each team member's collaboration ability, which are in the form of trapezoidal fuzzy numbers. By ranking the trapezoidal fuzzy numbers, the collaboration ability of team members can be ranked. The evaluation values are also transformed into multi-granular hesitant fuzzy linguistic term sets to provide interpretable results about each team member's collaboration ability. Finally, a numerical example is presented to illustrate the proposed approach.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhen Zhang AU - Junliang Gao AU - Wenyu Yu PY - 2019/08 DA - 2019/08 TI - Evaluating Collaboration Ability of R&D Team Members: A Multi-Granular Hesitant Fuzzy Linguistic Approach BT - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) PB - Atlantis Press SP - 30 EP - 36 SN - 2589-6644 UR - https://doi.org/10.2991/eusflat-19.2019.5 DO - 10.2991/eusflat-19.2019.5 ID - Zhang2019/08 ER -