A Priority Based Pre-Calculated Weight Fuzzy Neural Network for Supplier Selection in E-Procurement System

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Md. Atikqur Rahman, Sok Choo Ng, Syed Kamrul Hasan , Md. Ashiqussalehin

Abstract

E-Procurement, also known as electronic procurement is the purchase and sale of supplies, equipment, works and services through a web interface or other networked system. Multiple vendors or suppliers may show their interest to be in a contract with the authority that needs goods or services. So, supplier selection is an important task to ensure the quality of goods and services. Another important factor is considering the expenditures of multiple vendors against the quality of goods and services they offer.


In this paper, a process of supplier selection is designed for the adoption of e-procurement from the perspective for goods like computer or computer accessories.  Several criteria and constraints are proposed based on requirement and modeled using fuzzy neural network based on criteria and feature priority. Then the suppliers have been ranked from the viewpoint of the hiring authority.

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