Purpose

Forests are negatively affected from rapid world population increase and industrialization that create intense pressures on natural resources and the possibility of an achieving circular economy. Forests can be considered as essential resources for providing sustainable society and meeting the requirements of future generations and circular economy. Therefore sustainable production tools as part of circular economy can be handled as one of the basic indicators for achieving circular economy. Accordingly the main purpose of this study is developing a novel rough – fuzzy multi-criteria decision-making model (MCDM) for evaluation sustainable production for forestry firms in Eastern Black Sea Region.

Design/methodology/approach

For determining 18 criteria weights a novel Rough PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method is developed. Eight decision-makers (DMs) participated in the research, and to obtain group rough decision matrix, rough Dombi weighted geometric averaging (RNDWGA) operator has been applied. For evaluation forestry firms fuzzy MARCOS (Measurement of alternatives and ranking according to COmpromise solution) method was utilized.

Findings

After application developed model the fourth alternative was found as the best. Sensitivity analysis and comparison were made to present the applicability of this method.

Originality/value

Development of novel integrated Rough PIPRECIA-Fuzzy MARCOS model with emphasis on developing new Rough PIPRECIA method.

中文翻译：

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使用新的粗糙模糊 MCDM 模型评估循环经济背景下的可持续生产：以东黑海地区林业为例

目的

森林受到世界人口快速增长和工业化的负面影响，这对自然资源和实现循环经济的可能性造成了巨大压力。森林可以被视为提供可持续社会和满足子孙后代和循环经济要求的重要资源。因此，作为循环经济一部分的可持续生产工具可以作为实现循环经济的基本指标之一来处理。因此，本研究的主要目的是开发一种新颖的粗略模糊多标准决策模型 (MCDM)，用于评估黑海东部地区林业公司的可持续生产。

设计/方法/方法

为了确定 18 个标准权重，开发了一种新的 Rough PIPRECIA（PIvot Pairwise Relative Criteria Importance Assessment）方法。八位决策者（DMs）参与了研究，为了获得群体粗决策矩阵，已经应用了粗Dombi加权几何平均（RNDWGA）算子。对于评估林业公司，使用了模糊 MARCOS（根据妥协解决方案测量替代方案和排名）方法。

发现

在应用程序开发模型之后，发现第四个替代方案是最好的。进行了灵敏度分析和比较，展示了该方法的适用性。

原创性/价值

开发新的集成 Rough PIPRECIA-Fuzzy MARCOS 模型，重点是开发新的 Rough PIPRECIA 方法。