Simple Search:

The role of similarity measurement in an agent-based supplier selection framework


Citation

Jahani, Alireza and Azmi Murad, Masrah Azrifah and Sulaiman, Md. Nasir and Selamat, Hasan (2013) The role of similarity measurement in an agent-based supplier selection framework. Pertanika Journal of Science & Technology, 21 (1). pp. 261-272. ISSN 0128-7680

Abstract / Synopsis

Similarity measurement is a critical component in any case-based reasoning (CBR) system. CBR is a superior technique for solving new problems based on previous experiences. Main assumption in CBR relies on the hypothesis that states similar problems should have similar solutions. This paper describes a comparative analysis on several commonly used similarity measures (Canberra, Clark, and Normalized Euclidean distance) in retrieving phase of the case-based reasoning approach to facilitate supplier selection. In addition, the proposed agent-based supplier selection framework was designed to use customer’s defined weights to evaluate the price, volume, quality grade, and delivery date of supply materials, and also provide them with alternative products which are closest to their first order if it was out of stock. Finally, based on the proposed framework, a numerical example of the used approach is illustrated.


Download File

[img]
Preview
PDF
The Role of Similarity Measurement in an Agent-Based Supplier Selection Framework.pdf

Download (701kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Universiti Putra Malaysia Press
Keywords: Supplier selection; Intelligent agent; Customer knowledge management; Case based reasoning; Similarity measures
Depositing User: Nida Hidayati Ghazali
Date Deposited: 14 Jul 2014 16:29
Last Modified: 18 Sep 2015 09:23
URI: http://psasir.upm.edu.my/id/eprint/30618
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item