Ranking via composite weighting schemes under a DEA cross-evaluation framework

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

45 اقتباسات (Scopus)

ملخص

Data envelopment analysis (DEA) is one of the most powerful tools for ranking decision making units (DMUs). In this paper, we present a new perspective for ranking DMUs under a DEA peer-evaluation framework. We exploit the property of multiple weighting schemes generated over the cross evaluation process in developing a methodology that yields not only robust ranking patterns but also more realistic sets of weights for the DMUs. The robustness of the proposed methodology is evaluated using OWA combinations involving different minimax disparity models and different levels of optimism of the decision maker. We show that discrimination is boosted at each stage of the decision process. As an illustration, our approach is applied for ranking a sample of baseball players.

اللغة الأصليةEnglish
الصفحات (من إلى)217-224
عدد الصفحات8
دوريةComputers and Industrial Engineering
مستوى الصوت117
المعرِّفات الرقمية للأشياء
حالة النشرPublished - مارس 2018

ASJC Scopus subject areas

  • ???subjectarea.asjc.1700.1700???
  • ???subjectarea.asjc.2200.2200???

بصمة

أدرس بدقة موضوعات البحث “Ranking via composite weighting schemes under a DEA cross-evaluation framework'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا