区间值2型直觉模糊TOPSIS在数字化转型项目选择中的应用

Başar Öztayşi, Sezi Cevik Onar, C. Kahraman, S. Çebi
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引用次数: 0

摘要

数字化转型需要对业务流程、业务模型甚至公司文化进行根本性的改变。DT项目为商业竞争提供了巨大的价值,并影响了他们的市场份额。为了达到这些结果,应该仔细分析和评估数字化转型项目。本文主要研究多准则下数字化转型项目的优先级问题。与许多其他与技术相关的决策一样,数字化转型问题具有固有的不确定性,这导致研究人员采用模糊集理论。区间值型-2直觉模糊集(IVT2IFS)是模糊集的一个较新的扩展,它将隶属度值和非隶属度值作为一个区间。本文利用区间值型-2直觉模糊TOPSIS方法求解一个数字化转型项目的优先级问题,并将该模型应用于一个实际实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital transformation project selection using Interval Valued Type-2 Intuitionistic Fuzzy TOPSIS
Digital transformation necessitates fundamental changes in business processes, business models, and even cultures of the companies. DT projects provide a substantial value to the business competition and effect their market shares. In order to reach these results, digital transformation projects should be carefully analyzed and evaluated. In this paper, we focus on digital transformation project prioritization problem under multiple criteria. Just like many other technology related decisions, digital transformation problems are inherently uncertain, which leads researchers to employ the fuzzy set theory. Interval Valued Type-2 Intuitionistic Fuzzy Sets (IVT2IFS) are a relatively new extension of fuzzy sets which take into account membership and non-membership values as an interval. In this paper, we utilize Interval Valued Type-2 Intuitionistic Fuzzy TOPSIS method for a digital transformation project prioritization problem and apply the model to a real-world example.
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