Evaluation against multiple, rather than single reference summaries is generally recognised as leading to fairer, better quality, evaluation: different human summaries appear to be good even though they do not have identical content (Nenkova and Passonneau, 2004).
averaging ROUGE scores across multiple summaries, as is standard practice, makes a perfect 100% score unattainable, even for abstractive systems.