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| بین المللی علوم (منتشر نمی شود) | ||
| مقاله 2، دوره 6، شماره 0 - شماره پیاپی 1375، پاییز 1384 اصل مقاله (281.64 K) | ||
| نویسندگان | ||
A. Jafarnejad؛ C. Lucas؛ M.S. Taslimi؛ S. Khorshid 
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| عنوان مقاله [English] | ||
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| چکیده [English] | ||
| Evaluation and selection of research projects are two important activities in decision making process of research and expertise panels and councils. They involved in participating a group of experts and decision-makers to evaluate the research projects with considering a set of criteria, then selecting a set of projects which better meet an organizations' objectives. On the one hand, research projects evalua-tion needs experts and decision-makers' judgments. In many situations, experts and decision-makers have vague and uncertain knowledge about subjects and things, so they can not express them with number values. In such situations, a realistic approach is linguistic one. According to this approach, experts can express their judgments and preferences by linguistic terms. Fuzzy set theory provides the requirement flexibility for representing uncertainty arise of subjectivity of humans and their uncertain and vague knowledge. On the other hand, research projects portfolio selection involve using optimization models and techniques which meet multiple objectives of organization without exceeding available resources or violating other constraints. In this article, we have designed a model of mathematical programming based on integrating fuzzy set theory and Genetic algorithm optimization technique. | ||
| کلیدواژه‌ها [English] | ||
| Genetic algorithm, Linguistic Approach, optimization, Research Projects Evaluation and Selection | ||
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آمار تعداد مشاهده مقاله: 1,610 تعداد دریافت فایل اصل مقاله: 1,248 |
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