Abstract
TRIZ is a useful theory to solve the engineering contradiction problems. One of technological methods of TRIZ is Contradiction Matrix which is widely used for the solution of technical contradiction problems. For the TRIZ users, finding out some patent documents which had solved the same contradiction is helpful to solve the problems of this type of contradiction. Classifying patents contradiction based on the Engineering Parameters is more reasonable than the Inventive Principles, but all existing patent classification researches are unsuitable on patents contradiction classifying based on the Engineering Parameters directly. In this article, a new algorithm named MCIVC for classifying patents technical contradiction based on Engineering Parameters is proposed. This multi-layer classification algorithm adopts the associated rule-based approach combining the lazy learning. It does not only consider the semantic relationship among terms, but also consider the syntactic structure between words.
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Tseng, CK., Chung, CH., Dai, BR. (2014). Classifying the TRIZ Contradiction Problem of the Patents Based on Engineering Parameters. In: Cheng, SM., Day, MY. (eds) Technologies and Applications of Artificial Intelligence. TAAI 2014. Lecture Notes in Computer Science(), vol 8916. Springer, Cham. https://doi.org/10.1007/978-3-319-13987-6_32
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DOI: https://doi.org/10.1007/978-3-319-13987-6_32
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