Multi-Criteria Decision Model based on AHP and Linguistic Information

• Main Authors: Marcelo J. Karanik, Sergio D. Gramajo, Leonardo S. Wanderer, Manuel Gimenez, Diana Carpintero
• Format: Article
• Language: English
• Published: Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2014-04-01
• Series: Journal of Computer Science and Technology
• Online Access: https://journal.info.unlp.edu.ar/JCST/article/view/579

Multi-Criteria Decision Analysis (MCDA) is a usual activity among organisations and decisions related to people’s activities. Due to the complexity of considering multiple criteria, to select an alternative is a non-trivial task. From operative levels to managerial ones, MCDA is implemented by using several (formal and informal) techniques. Two useful techniques that help to make a decision are the Analytic Hierarchy Process (AHP) and MCDA models based on Linguistic Information (LI). This work describes a MCDA framework that combines the mentioned techniques in order to provide more confidence in the decision making process. To test the proposed model, framework was used to select the adequate network configuration to improve quality of service (QoS). Finally, the framework’s outputs were compared to real experts’ opinions obtaining satisfactory results.