AN ONTOLOGY-BASED INTELLIGENT SYSTEM WITH AHP TO SUPPORT SUPPLIER SELECTION

Authors

  • Golam Kabir Lecturer, Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka-1000, Bangladesh
  • Razia Sultana Sumi Lecturer, Department of Business Administration, Stamford University Bangladesh, Dhaka- 1217, Bangladesh

Keywords:

Analytic Hierarchy Process, Decision Support System, Ontology, Supplier Selection

Abstract

Due to the popularity of Internet and growing business-to-consumer electronic commerce the alternative products or services whose information can be acquired through the webs also significantly increased. In this paper, an intelligent agent system, which was initially designed and implemented for the specific application of supplier selection, is proposed to act for consumers in the matters of gathering information of expected suppliers and making an optimal choice from these suppliers. This agent system is composed of two subsystems, product gatherer and decision maker, to address the two key issues, finding out right products and making a right choice. First, Web Ontology Language (OWL) is utilized to define the ontology, which is used for processing the semantic content of gathered supplier’s information. Decision maker subsystem utilized the Analytic Hierarchy Process (AHP), which is a structured technique for dealing with complex decisions, to make an optimal decision to contribute to the improvement of consumer oriented e-commerce services.

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Published

2026-08-27

How to Cite

Kabir, G., & Sultana Sumi, R. (2026). AN ONTOLOGY-BASED INTELLIGENT SYSTEM WITH AHP TO SUPPORT SUPPLIER SELECTION. Suranaree Journal of Science and Technology, 17(3), 249–257. retrieved from https://ph04.tci-thaijo.org/index.php/SUJST/article/view/13624

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Section

Research Article