دانلود رایگان مقاله انگلیسی محاسبات فازی عملکرد آموزش بر اساس روش تحلیل پوششی داده ها - الزویر 2018

عنوان فارسی
محاسبات فازی عملکرد آموزش بر اساس روش تحلیل پوششی داده ها
عنوان انگلیسی
Fuzzy Computation of Teaching Performance Based on Data Envelopment Analysis Method
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
9
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E8605
رشته های مرتبط با این مقاله
مهندسی صنایع
گرایش های مرتبط با این مقاله
برنامه ریزی و تحلیل سیستم ها
مجله
تحقیقات سیستم های شناختی - Cognitive Systems Research
دانشگاه
Engineering - School of Business Guangdong University of Foreign Studies - Guangzhou - China
کلمات کلیدی
نظریه فازی؛ شماره فازی مثلثی؛ روش تحلیل پوششی داده ها؛ عملکرد آموزشی
چکیده

Abstract:


Data Envelopment Analysis (DEA) is a system analysis method. It is suitable for evaluating the relative efficiency of Decision Making Units (DMU) with multiple input and output indicators, which is subject to no dimensional form of data and does not need to set the parameters. Subordinate colleges are an integral part of a university, and the university’s comprehensive competitiveness can be improved only when each college reaches the optimal state of teaching performance. From the perspective of faculty structure, this paper constructs the evaluation system for the teaching performance of subordinate colleges. In the evaluation system, there are two fuzzy variables, employment quality and quality of enrollment of graduates, so the fuzzy DEA method is adopted. The introduction of fuzzy theory can well solve the problem of fuzzy numbers in input or output. The commonly used fuzzy numbers include triangular fuzzy numbers and trapezoid fuzzy numbers. The triangular one is used in this paper. The research results will help the university strengthen the understanding of subordinate colleges, which is of practical significance to improve the university’s comprehensive competitiveness.

نتیجه گیری

4.Conclusion


Subordinate colleges are an integral part of a university, and the university’s comprehensive competitiveness can be improved only when each college reaches the optimal state of teaching performance. From the perspective of faculty structure, this paper constructs the evaluation system for the teaching performance of subordinate colleges. In the evaluation system, there are two fuzzy variables, employment quality and quality of enrollment of graduates, so the fuzzy DEA method is adopted. In the evaluation process, the evaluation values of the two fuzzy variables (quality of employment and quality of enrollment of graduates) are obtained based on facts and the understanding of each college’s students of the college, and the fuzziness is lower, so the confidence level α is determined as 0.5. Results show that there are five colleges whose teaching efficiency reaches 1 at the confidence level α of 0.5, and the fuzzy DEA is significant; four colleges have significant weak fuzzy DEA; College of Finance (DMU6) and College of English (DMU7) fail to reach the significant level of DEA.


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