گروه کامپیوتر، دانشگاه آزاد اسلامی تربت‌حیدریه، تربت‌حیدریه، ایران
چکیده
ارزشیابی‌های متکی بر روش‌های کلاسیک آماری عموماً مطلق‌گرا هستند و از این‌رو دستیابی به نتیجه قابل اعتماد را با مشکل مواجه می‌سازند. یکی از دلایل این است که منابع مورد استفاده ذاتاً اطلاعات نادقیق دارند و از این‌رو شرایط را برای یک ارزشیابی سالم سخت می‌کنند. ارزشیابی مبتنی بر منطق فازی به دلیل توانایی استنتاج از داده‌های نایقین می‌تواند جایگزین مناسبی بر روش‌های کلاسیک باشد که در این پژوهش مورد بررسی قرار گرفته است. در این پژوهش جامعة آماری تحقیق را 105 نفر از دانشجویان و 15 نفر از اساتید رشته‌های مختلف دانشگاه آزاد اسلامی تربت‌حیدریه تشکیل می‌دادند. توزیع پرسش‌نامه استاندارد سازمان مرکزی دانشگاه آزاد اسلامی بین این تعداد از دانشجویان جهت ارزیابی اساتید انجام گرفت. سپس درجه اهمیت هر سؤال نظرسنجی توسط این تعداد از اساتید تعیین شد. همچنین اثر وزنی تجربه هر استاد در پاسخ به درجه اهمیت هر سؤال و نیز پارامتر تعداد ارزیابان در سیستم ارزشیابی اساتید مد نظر قرار گرفت. روش تحقیق از نوع توصیفی تحلیلی بوده است. سیستم استنتاج فازی از نوع ممدانی انتخاب شد که با دریافت دو ورودی فازی و با توجه به پایگاه قوانین فازی، خروجی مطلوب را فراهم می‌کند. برای تجزیه‌وتحلیل از 50 گروه درس متفاوت استفاده شد. نتایج نشان می‌دهد که در ارزشیابی‌های مختلف به روش‌های کلاسیک آماری و امید ریاضی و استنتاج فازی، روش ارزشیابی فازی می‌تواند با دقت بالاتری به رتبه‌بندی اساتید بپردازد.
Department of Computer, Islamic Azad University, Torbat-e-Heydariyeh branch, Iran
چکیده [English]
Classic statistical evaluation models are generally absolute and therefore make it difficult to achieve reliable results. One reason for this is that the sources used, inherently, contain inaccurate information and make the conditions difficult for a valid evaluation. In this study, using fuzzy inference, educational evaluation of professors was conducted. Due to the uncertain nature of the fuzzy theory, it is possible to analyze and evaluate information more precisely. The standard questionnaire of Islamic Azad University was distributed among 105 students to evaluate teachers. Then, the priority of each survey question was determined by interviewing some professors. The weighting effect of each professor's experience in response to each question priority and, also, the number of assessors' parameter in their evaluation system were considered. Mamdani type fuzzy inference system was chosen which receives two input fuzzy and provides the desired output based on fuzzy rule base. Finally, using three methods for evaluation including classic evaluation, evaluation with the expected value and fuzzy evaluation, have shown that the rating of teachers using fuzzy logic could be closer to reality.
کلیدواژه‌ها [English]
Fuzzy logic, Fuzzy Inference, Teacher Evaluation
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