This study develops a Mamdani based Fuzzy inference model to explore the behaviour of customers during purchase of an E-commerce product under an uncertain environment. For the purpose of illustration, product laptop has been considered. The data for this study is primarily collected through questionnaire that involved around 464 participants who are habituated to such online purchase, thus, improving the authenticity of the study. Six such independent input variables like Brand name, Processor speed, RAM capacity, internal storage, Screen size and Graphics are considered in the study. The study proposes Mamdani based Fuzzy inference model that has six inputs and one output. Each input variable is measured on a scale expressed in linguistic terms. For the model, set of all possible rules are generated in the form of antecedent and consequences principle. The proposed model establishes a basis for understanding the influence of various input parameters on the purchase behaviour.

这项研究开发了基于Mamdani的模糊推理模型，以探索在不确定环境下购买电子商务产品期间客户的行为。为了说明的目的，已经考虑了产品笔记本电脑。这项研究的数据主要是通过问卷调查收集的，该问卷涉及习惯于这种在线购买的约464名参与者，从而提高了研究的真实性。研究中考虑了六个这样的独立输入变量，例如品牌名称，处理器速度，RAM容量，内部存储，屏幕尺寸和图形。研究提出了基于Mamdani的模糊推理模型，该模型具有6个输入和1个输出。每个输入变量均以用语言表示的标度进行度量。对于模型，所有可能规则的集合都以先行和后果原则的形式生成。所提出的模型为理解各种输入参数对购买行为的影响奠定了基础。