PROPOSING A SIMILARITY MEASURE IN CASE BASED REASONING FOR PRODUCTS SELECTION - An Experimental Evidence

Fadi Amroush

2012

Abstract

This paper presents a novel similarity measure to design a Decision Support System for products selection using Case Based Reasoning "CBR". The presented approach combines a novel local similarity measure with Nearest Neighbour Matching Function which is used as a typical evaluation function to compute the nearest-neighbour matching case in CBR. This paper suggests using this similarity measure in CBR in order design our model in products selection to help users to find the optimal product according to their preferences. The nature of this local similarity measure is to give more reality measure used by people in selecting products instead of the traditional one proposed by (Xiao-tai et al., 2004). We illustrate the significance of our proposed measure experimentally. The paper shows that our approach has been followed by about 80% of subjects.

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Paper Citation


in Harvard Style

Amroush F. (2012). PROPOSING A SIMILARITY MEASURE IN CASE BASED REASONING FOR PRODUCTS SELECTION - An Experimental Evidence . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 499-502. DOI: 10.5220/0003746504990502

in Bibtex Style

@conference{icaart12,
author={Fadi Amroush},
title={PROPOSING A SIMILARITY MEASURE IN CASE BASED REASONING FOR PRODUCTS SELECTION - An Experimental Evidence},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={499-502},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003746504990502},
isbn={978-989-8425-95-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - PROPOSING A SIMILARITY MEASURE IN CASE BASED REASONING FOR PRODUCTS SELECTION - An Experimental Evidence
SN - 978-989-8425-95-9
AU - Amroush F.
PY - 2012
SP - 499
EP - 502
DO - 10.5220/0003746504990502