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Inventi Impact - Fuzzy Systems

Articles

  • Inventi:efs/75/14
    A STUDY ON MULTIATTRIBUTE AGGREGATION APPROACHES TO PRODUCT RECOMMENDATION
    Jing-Zhong Jin, Yoshiteru Nakamori, Andrzej P Wierzbicki

    In today’s increasingly competitive market, consumers usually have to face a huge number of products with different designs but having the same use. Therefore, an important problem for manufacturers is to attract consumers by special designs of the products. This paper aims at the improvement of a consumer-oriented approach in recommending products, and proposing a recommendation system for Japanese traditional crafts based on target-oriented fuzzy method and ontological engineering. Specifically, a target-oriented fuzzy method is used for measuring the fitness of a selected attribute to a certain object. Two aggregation models for dealing with a multiattribute evaluation and ranking are introduced; four ranking methods are also examined for getting a recommendation list. To test the aggregation models and the ranking methods, a recommendation system was developed and a comparison test was conducted.

    How to Cite this Article
    CC Compliant Citation: Jing-Zhong Jin, Yoshiteru Nakamori, and Andrzej P. Wierzbicki, “A Study on Multiattribute Aggregation Approaches to Product Recommendation,” Advances in Fuzzy Systems, vol. 2013, Article ID 806749, 11 pages, 2013. doi:10.1155/2013/806749. Copyright © 2013 Jing-Zhong Jin et al. This article is distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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