Artificial neural networks versus natural neural networks: A connectionist paradigm for preference assessment

Artificial neural networks versus natural neural networks: A connectionist paradigm for preference assessment

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Article ID: iaor19961343
Country: Netherlands
Volume: 11
Issue: 5
Start Page Number: 415
End Page Number: 429
Publication Date: Jun 1994
Journal: Decision Support Systems
Authors:
Abstract:

Preference is an essential ingredient in all decision processes. This paper presents a new connectionist paradigm for preference assessment in a general multicriteria decision setting. A general structure of an artificial neural network for representing two specified prototypes of preference structures is discussed. An interactive preference assessment procedure and an autonomous learning algorithm based on a novel scheme of supervised learning are proposed. Operating characteristics of the proposed paradigm are also illustrated through detailed results of numerical simulations.

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