引入犹豫模糊方程，确定市场均衡价格

Q4 Engineering

Control and Cybernetics Pub Date : 2021-09-01 DOI:10.2478/candc-2021-0022

F. Babakordi, N. Taghi-Nezhad

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引用次数: 1

摘要

摘要绝大多数研究都是在犹豫模糊集（HFSs）领域进行的，包括引入这些集的一些性质、运算、关系和修改，或者考虑HFSs在多准则决策中的应用。另一方面，在完全犹豫模糊方程领域还没有进行任何研究。因此，本文引入了完全犹豫模糊方程和对偶犹豫模糊方程。首先，提出了一种求解单元犹豫模糊方程的方法。然后，将所提出的方法推广到有效求解n元犹豫模糊方程。此外，为了证明所提出的方法的适用性，它被用于解决现实世界中的一个问题。因此，将该方法应用于确定市场均衡价格。此外，还给出了一些其他的数值例子，以更好地展示该方法的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Introducing hesitant fuzzy equations and determining market equilibrium price

Abstract A vast majority of research has been performed in the field of hesitant fuzzy sets (HFSs), involving the introduction of some properties, operations, relations and modifications of such sets or considering the application of HFSs in MCDM (multicriteria decision making). On the other hand, no research has been performed in the field of fully hesitant fuzzy equations. Therefore, in this paper, fully hesitant fuzzy equations and dual hesitant fuzzy equations are introduced. First, a method is proposed to solve one-element hesitant fuzzy equations. Then, the proposed method is extended to solve n-element hesitant fuzzy equations effectively. Moreover, to show the applicability of the proposed method, it is used to solve a real world problem. Thus, the proposed method is applied to determine market equilibrium price. Also, some other numerical examples are presented to better show the performance of the proposed method.

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来源期刊

Control and Cybernetics 工程技术-计算机：控制论

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The field of interest covers general concepts, theories, methods and techniques associated with analysis, modelling, control and management in various systems (e.g. technological, economic, ecological, social). The journal is particularly interested in results in the following areas of research: Systems and control theory: general systems theory, optimal cotrol, optimization theory, data analysis, learning, artificial intelligence, modelling & identification, game theory, multicriteria optimisation, decision and negotiation methods, soft approaches: stochastic and fuzzy methods, computer science,