A Rank-Expert Deviation Function to Classify Complex Objects
- 作者: Korobov V.B1, Tutygin A.G2, Lokhov A.S1
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隶属关系:
- Shirshov Institute of Oceanology, Russian Academy of Sciences
- Laverov Federal Center for Integrated Arctic Research, Ural Branch, Russian Academy of Sciences
- 期: 编号 6 (2023)
- 页面: 56-65
- 栏目: Control in Social and Economic Systems
- URL: https://bakhtiniada.ru/1819-3161/article/view/292105
- DOI: https://doi.org/10.25728/pu.2023.6.5
- ID: 292105
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详细
This paper proposes a novel function for classifying environmental, social, and socio-environmental objects. It is based on the sum of rank deviations between a given object and a reference object considering the significance of the object’s characteristics (factors). Characteristics are estimated using weight coefficients, which are provided by expertise or another method. A verbal numerical scale is developed to assess the proximity of objects by the numerical value of the deviation function. As is demonstrated below, this function is not a metric in the geometric sense but a proximity function defined in multidimensional scaling theory. As illustrative examples, the values of the deviation function are calculated for two applications: an environmental problem of comparing the vulnerability of territories to accidental oil spills and an economic problem of choosing real estate objects to purchase. A recommended sequence with a set of procedures based on the deviation function is presented to solve these problems.
作者简介
V. Korobov
Shirshov Institute of Oceanology, Russian Academy of Sciences
Email: szoioran@mail.ru
Moscow, Russia
A. Tutygin
Laverov Federal Center for Integrated Arctic Research, Ural Branch, Russian Academy of Sciences
Email: andgt64@yandex.ru
Arkhangelsk, Russia
A. Lokhov
Shirshov Institute of Oceanology, Russian Academy of Sciences
Email: a.s.lohov@yandex.ru
Moscow, Russia
参考
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