Futuristic government e-tendering process with AI and fuzzy logic.

Smarter Government: How AI and Fuzzy Logic Are Revolutionizing E-Tendering

Elliot Brynn in Tech & Innovation December 2025 • 3 min read.

"Unlocking Efficiency and Fairness in Public Procurement with Advanced Technologies"

E-government is rapidly evolving, demanding more efficient and effective methods than traditional systems. E-tendering, powered by information technology, is emerging as a critical solution for ensuring efficiency, fairness, transparency, and accountability in government processes.

This article explores a groundbreaking approach that combines genetic algorithms (GA) and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to enhance government e-tendering (GeT). This innovative method aims to optimize the selection of tenderers in environments where their attributes are defined by fuzzy number intuitionistic fuzzy sets (FNIFSs).

Imagine a system where AI automatically weighs the importance of each tenderer's qualifications, ensuring that the most deserving candidate is selected. This hybrid approach uses GA to determine the optimal weights for evaluation criteria and TOPSIS to identify the best tenderer, creating a fairer and more efficient process. A prototype system validates this approach, demonstrating its real-world feasibility and potential.

The Power of E-Tendering: Efficiency, Fairness, and Transparency

Futuristic government e-tendering process with AI and fuzzy logic.

Since its inception, tendering has been considered one of the most impartial methods for awarding government contracts, ensuring the best use of public funds. E-tendering enhances this process by integrating conventional tendering with Internet, computer, and certification technologies, enabling electronic and information-based tendering.

The rise of the Internet and advanced communication technologies has fueled the popularity of e-tendering in businesses, thanks to its clear advantages:

Integration into Supply Chains: E-tendering streamlines the incorporation of enterprises into international supply chains.
Cost Reduction: It lowers costs for both tenderees and tenderers, conserving social resources and improving tendering efficiency.
Market Standardization: E-tendering standardizes market operations, reduces corruption, and fosters a transparent tendering environment.

Developing efficient and effective GeT systems is crucial. These systems require robust functionality, including web-based bid evaluation, an essential component of the e-tendering procedure. This article addresses the need for improved web-based bid evaluation by introducing a hybrid approach that leverages GA and TOPSIS with FNIFSs.

The Future of E-Tendering: Smarter, Fairer, and More Efficient

The hybrid GA and TOPSIS approach offers a significant advancement in government e-tendering, ensuring more objective and realistic evaluations. By combining FNIFS, GA, and TOPSIS, this methodology expands the scope and application of these technologies. Future work will focus on overcoming existing limitations and refining the implementation of this approach, paving the way for smarter, fairer, and more efficient government procurement.

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Everything You Need To Know

What is e-tendering, and how does it improve traditional tendering processes?

E-tendering is a method of awarding government contracts that integrates conventional tendering with Internet, computer, and certification technologies. Unlike traditional methods, e-tendering leverages technology to ensure efficiency, fairness, transparency, and accountability. It streamlines processes, reduces costs for both tenderers and tenderees, and fosters a transparent tendering environment. The adoption of e-tendering, especially in government, allows for the best use of public funds by leveraging technology to evaluate and select the most deserving candidate. This moves beyond manual processes to a digital platform for managing bids, evaluations, and contract awards.

How do genetic algorithms (GA) and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) work together in government e-tendering (GeT)?

In GeT, GA and TOPSIS are combined to create a hybrid approach that optimizes the selection of tenderers. GA is used to determine the optimal weights for evaluation criteria, essentially teaching the system the relative importance of different qualifications of the tenderers. Once GA has determined these weights, TOPSIS is used to identify the best tenderer based on those weighted criteria. This combination ensures more objective and realistic evaluations, allowing the system to automatically weigh the importance of each tenderer's qualifications, leading to a fairer and more efficient process.

What are the main advantages of e-tendering compared to traditional tendering methods?

E-tendering offers several key advantages. First, it streamlines the incorporation of enterprises into international supply chains. Second, it reduces costs for both tenderees and tenderers, ultimately conserving social resources. Third, it standardizes market operations, which decreases corruption and promotes a transparent tendering environment. These benefits enhance efficiency, fairness, and transparency, making e-tendering a superior method for awarding government contracts. By integrating internet, computer, and certification technologies, e-tendering overcomes the limitations of manual processes.

What role do Fuzzy Number Intuitionistic Fuzzy Sets (FNIFSs) play in this innovative e-tendering approach?

FNIFSs are used to define the attributes of tenderers in the hybrid GA and TOPSIS approach. This allows the system to handle uncertainty and imprecision in the evaluation criteria. By using FNIFSs, the system can consider factors that are not easily quantified, leading to more nuanced and accurate assessments. This makes the evaluation process more realistic and objective, ensuring that the most deserving candidate is selected based on a comprehensive analysis of their qualifications, even when those qualifications are not perfectly defined or measurable.

How does this hybrid approach of using GA, TOPSIS, and FNIFSs contribute to the future of government procurement?

The hybrid approach, which leverages GA, TOPSIS, and FNIFSs, is a significant advancement in GeT. It ensures more objective and realistic evaluations by expanding the scope and application of these technologies. By combining these techniques, the system can evaluate tenderers more comprehensively and fairly, leading to better procurement decisions. Future work will focus on refining the implementation of this approach, paving the way for smarter, fairer, and more efficient government procurement. This will lead to improved use of public funds, increased transparency, and reduced opportunities for corruption, setting a new standard for government processes.