Evaluation about the performance of E-government based on interval-valued intuitionistic fuzzy set

Area of Science:

• Information Science
• Computer Science
• Public Administration

Background:

• E-Government development is crucial globally, necessitating robust performance evaluation methods.
• Assessing E-Government performance is a significant academic focus due to rapid advancements.
• Existing evaluation techniques often struggle with the inherent uncertainty in real-world E-Government data.

Purpose of the Study:

• To develop a novel evaluation method for E-Government development.
• To address the challenge of uncertainty in E-Government performance data.
• To introduce a new operator within the interval-valued intuitionistic fuzzy set framework for improved evaluation.

Main Methods:

• Extension of the geometric Heronian mean (GHM) operator to the interval-valued intuitionistic fuzzy environment, resulting in the interval-valued intuitionistic fuzzy GHM (IIFGHM) operator.
• Investigation of the relationships between the proposed IIFGHM operator and existing operators like GIIFHM.
• Application and validation of the developed method using a case study of E-Government evaluation in Hangzhou City, China.

Main Results:

• The proposed IIFGHM operator effectively handles uncertainty in E-Government performance evaluation.
• The new method demonstrates superior performance in assessing E-Government development compared to existing approaches.
• Validation through a real-world case study confirms the practical applicability and effectiveness of the developed evaluation technique.

Conclusions:

• The interval-valued intuitionistic fuzzy set approach, particularly with the novel IIFGHM operator, provides a powerful tool for E-Government performance evaluation.
• The developed method offers a reliable way to manage uncertainty, promoting more accurate and effective E-Government development.
• The study contributes a valuable new methodology for researchers and practitioners in the field of E-Government.