Pythagorean Fuzzy Cognitive Maps in Making Optimal Decisions on Feasible Strategies for Inhibiting Electronic Waste

L. Deepak, R. Priya, W. Merline, G. Ramkumar, N. Martin
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Abstract

. Electronic waste is an emerging cataclysm to the environment in recent times and the mounting industrial sectors are the constant contributors to it. Escalation of technology is being hailed but the environment impacts highly intrudes the resilience of the ecosystem. Refraining from technology is quite not possible in this digital epoch but reclamation of the milieu has high probability. Decision making on inhibiting electronic waste demands feasible strategies and it is the most challenging task for the industrial administrators. This paper proposes the new approach of Pythagorean fuzzy cognitive maps to find the viable strategies of electronic waste inhibition. The representation of the elements of the connection matrix as Pythagorean fuzzy sets is a distinctive feature of the research work. The strategies are subjected to the analysis of the experts to investigate their interrelational impacts. The resultant of the decision making model based on Pythagorean fuzzy cognitive maps is the score value of the strategies based on which they are ranked. This paper also presents the comparative analysis of Pythagorean fuzzy cognitive maps over fuzzy cognitive maps.
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毕达哥拉斯模糊认知图在抑制电子垃圾可行策略决策中的应用
. 电子垃圾是近年来对环境造成的一场新灾难,而越来越多的工业部门是不断造成这种灾难的原因。技术的升级受到欢迎,但环境的影响严重影响了生态系统的恢复能力。在这个数字时代,远离技术是不可能的,但对环境的改造是很有可能的。抑制电子垃圾的决策需要可行的策略,是行业管理者面临的最具挑战性的任务。本文提出了毕达哥拉斯模糊认知图的新方法来寻找可行的电子垃圾抑制策略。将连接矩阵的元素表示为毕达哥拉斯模糊集是本研究工作的一个显著特点。专家们对这些策略进行了分析,以调查其相互关系的影响。基于毕达哥拉斯模糊认知图的决策模型的结果是策略的得分值,并以此为基础对策略进行排名。本文还对毕达哥拉斯模糊认知图与模糊认知图进行了比较分析。
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