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Evaluating Collaboration Ability of RD Team Members: A Multi-Granular Hesitant Fuzzy Linguistic Approach

机译:评估研发团队成员的合作能力:多粒鲁莽的模糊语言方式

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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.
机译:评估每个成员在研发团队中的协作能力对于高级管理人员来说至关重要,以改善研发活动的团队绩效。由于知识和教育背景的差异,每个团队成员通常都倾向于使用多粒鲁莽的模糊语言术语集,以引发他们对与他/她相对于每个标准工作关系的团队成员的评估。在本文中,开发了一种多粒状的鲁莽的模糊语言方法,以评估研发团队成员的协作能力。在提出的方法中,每个团队成员提供关于每个标准的所有单个多粒子犹豫不决的模糊语言评估首先转化为他们的模糊信封,然后聚合以获得每个团队成员的协作能力的总体评估,这是梯形模糊数的形式。通过排名梯形模糊数,团队成员的协作能力可以排名。评估值也转化为多粒状鲁道的模糊语言术语集,以提供关于每个团队成员的协作能力的可解释结果。最后,提出了一个数字示例以说明所提出的方法。

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