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МНОГОКРИТЕРИАЛЬНАЯ МОДЕЛЬ ОПРЕДЕЛЕНИЯ НАИЛУЧШЕЙ ДОСТУПНОЙ ТЕХНОЛОГИИ ПРИ НЕЧЕТКИХ ИСХОДНЫХ ДАННЫХ

МНОГОКРИТЕРИАЛЬНАЯ МОДЕЛЬ ОПРЕДЕЛЕНИЯ НАИЛУЧШЕЙ ДОСТУПНОЙ ТЕХНОЛОГИИ ПРИ НЕЧЕТКИХ ИСХОДНЫХ ДАННЫХ

Abstract

One of the key elements in solving environment-protection problems is introducing the principles of the best available technologies, which are effective in evaluating and regulating the negative impact industrial plants have on the environment. The term “best available technologies” (BAT) are defined as the production technologies, processes and services, determined on the basis of modern science and technology, with the best combination of criteria to achieve environmental objectives subject to availability of technical possibilities being taken into account. The problem of selecting the best available technologies is based on the valuation of pollution and counter-pollution measures and the regulation of the negative impact of industrial production on the environment. Comparing alternative technological options is a complex task in which many environmental, technological, economic and social criteria should be taken into account. One of the main conditions for the correct selection of tools for decision-making on BAT is to adequately address uncertain input data. For the correct assessment of alternative technologies including comparison of the levels of negative impacts on the environment, we propose a model of multi-criteria decision making with fuzzy parameters which is a variant of the fuzzy multicriteria decision making methodology called TOPSIS. A stepwise algorithm for multi-criteria decision-making is developed that allows us to operate with uncertain, fuzzy input data using subjective expert evaluations. The proposed method is illustrated with a real-life example which verifies and justifies the method, and illustrates its effectiveness and ability to provide an objective decision-making solution

Рассмотрена проблема выбора наилучших доступных технологий, на основании которых нормируется и регулируется негативное воздействие промышленных производств на окружающую среду. Сравнение альтернативных технологических вариантов комплексная задача, в которой должны быть учтены многочисленные экологические, технологические, экономические и социальные критерии. Основным условием выбора инструментария для принятия решений по наилучшим доступным технологиям определена возможность адекватного учета неопределенности. Для ключевого этапа оценки альтернативных технологий сравнения уровней негативного воздействия на окружающую среду построена модель многокритериального принятия решений с нечеткими параметрами и предложен нечеткий вариант метода TOPSIS. Разработан пошаговый алгоритм ее решения, позволяющий оперировать неоднозначными нечеткими входными данными, субъективными мнениями экспертов. Иллюстрация предложенного метода на реальном примере свидетельствует о его эффективности и способности обеспечить объективное принятие решений

Keywords

ЭКОЛОГИЯ,НАИЛУЧШИЕ ДОСТУПНЫЕ ТЕХНОЛОГИИ,ЭКОЛОГО-ЭКОНОМИЧЕСКИЕ МОДЕЛИ,МНОГОКРИТЕРИАЛЬНОЕ ПРИНЯТИЕ РЕШЕНИЙ,ТЕОРИЯ НЕЧЕТКИХ МНОЖЕСТВ,ECOLOGY,BEST AVAILABLE TECHNOLOGY,ENVIRONMENTAL AND ECONOMIC MODELS,MULTI-CRITERIA DECISION MAKING,FUZZY SETS THEORY

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold