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Picture fuzzy set and quality function deployment approach based novel framework for multi-criteria group decision making method

机译:基于模糊套装与质量函数部署方法基于多标准组决策方法的新框架

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摘要

Quality function deployment (QFD) translates customers' requirements into product design requirements for improving quality and design of the product. Very often, customers' requirements are uncertain because of imprecision and linguistic representation. Many researchers have integrated fuzzy set (FS) and intuitionistic fuzzy set (IFS) with QFD to model uncertainty in the preferences of customers' requirements due to imprecision and vagueness. Since picture fuzzy set (PFS) which is an extension of IFS, has been proved more ideal than fuzzy and intuitionistic fuzzy set in modeling of fuzziness and uncertainty in real life problem of decision making, we have integrated QFD with PFS to propose a multi-criteria group decision making (MCGDM) method. Present study contributes a MCGDM method that uses prominent characteristic of QFD in the integration of heterogeneous preferences of decision makers by splitting them into groups of users and analysts. Positive, negative and no correlations among engineering criteria without normalization in QFD is used in proposed MCGDM method to obtain more precise overall relationship matrix and hence final ranking of alternatives. Feasibility and suitability of proposed MCGDM method is verified by using it on a real case study of ranking of Facebook, Instagram, WhatsApp and Twitter in which users are taken as decision makers.
机译:质量功能部署(QFD)将客户的要求转化为产品设计要求,以提高产品的质量和设计。通常,由于不精确和语言表示,客户的要求是不确定的。许多研究人员综合模糊集(FS)和直觉模糊集(IFS),QFD由于不确定和模糊性而在客户需求的偏好中进行模拟不确定性。由于图像模糊集(PFS)是延伸IFS的延伸,而是比模糊和直觉模糊集合的模糊和直觉模糊集合在决策中的真实生命问题中的模糊和不确定性的建模中,我们已经将QFD与PFS集成到提出多个 - 标准组决策(MCGDM)方法。目前的研究有助于通过将QFD的突出特征掺入决策者的异构偏好,将它们分成用户和分析师组的异构偏好。在没有QFD中没有归一化的阳性,阴性和没有相关性,以所提出的MCGDM方法用于获得更精确的整体关系矩阵,从而获得最终排名的替代品。通过使用它在对Facebook,Instagram,WhatsApp和Twitter等级的实际案例研究中验证了所提出的MCGDM方法的可行性和适用性。

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