کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6855040 1437603 2018 61 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mixed uncertainties in data envelopment analysis: A fuzzy-robust approach
ترجمه فارسی عنوان
عدم اطمینان مختلط در تجزیه و تحلیل پوشش داده ها: رویکرد قوی فازی
کلمات کلیدی
تحلیل پوششی داده ها، بهینه سازی قوی، تئوری مجموعه فازی اندازه گیری کارایی نامعلوم،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Performance measurement is one of the most essential real life decision making problems faces several criteria and different types of uncertainty and vagueness. Human expertise is mandatory for such situation although it is not enough to overcome such complicated cases. Expert systems which can sense, analyze and incorporate all details of real life decision making problems are required. In this paper an expert system is proposed in form of an uncertain Data Envelopment Analysis (DEA) approach. More formally a mixed fuzzy-robust uncertainty is addressed in the proposed DEA. Two scenario-based robust DEA models under Constant Return to Scale (CRS) and Variable Return to Scale (VRS) conditions have been proposed. Since the observed values for the inputs and outputs of Decision Making Units (DMUs) in each scenario may be ambiguous or vague, fuzzy DEA models corresponding to each of the robust scenarios are developed. So, this paper proposes four fuzzy-robust DEA models, which simultaneously maintain the advantage of each of the fuzzy and robust approaches, and at same time calculate the upper and lower bounds of the efficiency scores of DMUs under CRS and VRS conditions. Finally, to evaluate the validity and applicability of the proposed models, two numerical examples and a real case study in Small and Medium-sized Enterprises (SMEs) are presented and discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 103, 1 August 2018, Pages 218-237
نویسندگان
, , , ,