An Intuitionistic Fuzzy Decision Aid for Neuromarketing Technology Selection Problem

Nazli Goker, M. Dursun
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Abstract

Neuromarketing, which uses neuroimaging technologies for marketing initiatives, is represented as the application of neuroscientific methods for analysing and understanding consumer behaviour with regard to marketing objectives. Medical diagnostic devices for brain imaging are used by marketers as neuromarketing technologies. In this study, the intuitionistic fuzzy COPRAS method, which aims to obtain a solution relative to the ideal solution, is used to rank neuromarketing technology alternatives and identify the best-performing one among them. Intuitionistic fuzzy sets are used to deal with the loss of information and hesitation in data that may occur in operations with fuzzy numbers. The application of the proposed intuitionistic fuzzy decision-making approach is illustrated by conducting a case study
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神经营销技术选择问题的直觉模糊决策辅助
神经营销利用神经成像技术进行营销活动,表现为应用神经科学方法分析和理解与营销目标相关的消费者行为。脑成像的医疗诊断设备被营销人员用作神经营销技术。本研究采用直觉模糊COPRAS方法对神经营销技术方案进行排序,并从中识别出表现最佳的方案,其目的是获得相对于理想方案的解决方案。直觉模糊集用于处理模糊数运算中可能出现的信息丢失和数据犹豫等问题。通过一个案例分析,说明了所提出的直觉模糊决策方法的应用
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