An integrated method for evaluating the energy-saving and economic operation of power systems with interval-valued intuitionistic fuzzy numbers

Xinrui Xu
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Abstract

Chinese population is numerous. Energy resources are limited. The ownership of per capita resource is far lower than the world average level. China is in the process of industrialization and urbanization, but energy resources are consumed and environmental pollution is serious. The energy crisis and environmental protection has restricted our country economy development and social harmony. As a source of energy consumption and environmental pollution, power industry is one of the important fields of energy saving and emission reduction. The reasonable power dispatch is the breakthrough to reduce the energy consumption and environmental pollution. In this paper, we first introduce some operations on interval-valued intuitionistic fuzzy sets, such as Heronian mean (HM) operator and Dombi operations, etc., and further develop the induced interval-valued intuitionistic fuzzy Dombi weighted Heronian mean (I-IVIFDWHM) operator. We also establish some desirable properties of this operator, such as commutativity, idempotency and monotonicity. Then, we apply the I-IVIFDWHM operator to deal with the interval-valued intuitionistic fuzzy multiple attribute decision making (MADM) problems. Finally, an illustrative example for evaluating the energy-saving and economic operation of power systems is given to verify the developed approach.
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用区间值直觉模糊数综合评价电力系统节能与经济运行的方法
中国人口众多。能源是有限的。人均资源拥有量远低于世界平均水平。中国正处于工业化、城镇化的进程中,能源消耗严重,环境污染严重。能源危机和环境保护问题已经制约了我国经济的发展和社会的和谐。电力工业作为能源消耗和环境污染的来源,是节能减排的重要领域之一。合理的电力调度是降低能源消耗和环境污染的突破口。本文首先介绍了区间值直觉模糊集上的一些运算,如Heronian mean (HM)算子和Dombi算子等,并进一步发展了诱导的区间值直觉模糊Dombi加权Heronian mean (I-IVIFDWHM)算子。我们还建立了该算子的交换性、幂等性和单调性。然后,应用I-IVIFDWHM算子处理区间值直觉模糊多属性决策问题。最后,以电力系统的节能经济运行评价为例,对所提出的方法进行了验证。
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