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CLASSIFICATION OF HEURISTIC METHODS BASED ON FUNCTIONAL FEATURES
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Nikolai Vladimirovich Khripunov
Volga Region State University of Service in Tolyatti
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Submitted:
February 1, 2016
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Abstract.
The article deals with the classification of heuristic research methods combining expert methods and the methods of work with the respondents of non-expert qualification. The author studies modern approaches to heuristic methods classification. Common requirements for the classification criteria are determined. The paper also proposes a version of a classification based on five criteria that are common to all heuristic methods, significant and measurable. The application of this classification is advisable in the process of choosing a method of heuristic research taking into account the characteristics of the problem under study.
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Key words and phrases:
эвристические методы
экспертные оценки
квалификация экспертов
классификация
классификационные признаки
heuristic methods
expert judgements
qualification of experts
classification
classification criteria
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References:
- Альшанская Т. В., Панюков Д. И., Хрипунов Н. В. Выбор технологий опросных исследований // Новая наука: опыт, традиции, инновации. 2016. № 1-1. С. 33-35.
- Горчаков А. А., Орлова И. В., Половников В. А. Методы экономико-математического моделирования и прогнозирования в новых условиях хозяйствования. М.: ВЗФЭИ, 1991. 145 c.
- Ефимова О. В. Финансовый анализ. Современный инструментарий для принятия экономических решений. М.: Омега-Л, 2013. 351 c.
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