以創新構思問題解決方法(TRIZ)進行關聯專利檢索之研究探討-以綠色產業為例

游子鋐

doi:10.6841/NTUT.2009.00468

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以创新构思问题解决方法(TRIZ)进行关联专利检索之研究探讨-以绿色产业为例

A Study of TRIZ for Patent Mapping – A Case Study for Green Industries

游子鋐 , 硕士　　导师：叶继豪　　

繁体中文 DOI： 10.6841/NTUT.2009.00468

创新构思问题解决方法(TRIZ) ；绿色产业；文字探勘；专利分类；专利检索；支持向量机(SVM) ；最近邻居法(KNN) ； TRIZ ； Green Industries ； Text Mining ； Patent Classification ； Patent Searching ； Support Vector Machine (SVM) ； K-Nearest neighbor (KNN)

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摘要 │ 被引用文献 (1) │ 国际计量

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The inventor of Soviet Union, Genrich Altshuller developed TRIZ to present as well-known to the public. The aim of this research is to map 1,000 Chinese patents of R.O.C Green-related industry into TRIZ Inventive Principles by using text mining technique, and develop a computer-aided mechanism to patents searching by Contradiction Matrix tool and Inventive Principles. There are two parts in the reaserch. First at all, using on-line auto-tag system provided by Academia Sinica to break every sentence in a document into several keywords and label these keywords manually. Secondly, calculating text frequency (TF) and inverse document frequency (IDF) in the corresponding document. Then, chi-square statistics and correlation coefficient approaches are used to select and sort word features which are highly correlated to 40 TRIZ Inventive Principles. In addition, TFIDF and weight-TFIDF values are inputs for further classifiers such as support vector machine (SVM) and k-nearest neighbor classifier (KNN). Finally, SVM and KNN evaluate the performances of 1,000 Chinese R.O.C patents of green-related industry into 40 TRIZ Inventive Principles. Experimental results of part 1 show that, Both of SVM and KNN perform well and the accuracy between them was only 1%. However, used the comparative measure F(2)-value to assess performance of SVM and KNN. KNN could deliver better performance. At part 2, according to text frequency (TF) and KNN build relationships between integrated 39 TRIZ Parameters, 40 TRIZ Inventive Principles and patents. We can build the TRIZ high-correlation R.O.C patents searching mechanism of green-related industry by Integrated 39×39 TRIZ Contradiction Matrix, which combined original classical TRIZ matrix with Matrix2003 developed by E. Domb & M. Slocum. Experimental results of part 2 show that, the user could use the TRIZ high-correlation R.O.C patents searching mechanism of green-related industry to get TRIZ Inventive Principles by analysis of problems to find the hidden contradictions and input one or more pair-wise integrated 39 TRIZ Parameters. Moreover, searching the high-correlation patents of green industry by sorted the correlation of the integrated 39 TRIZ Parameters and 40 Inventive Principles in descending order. We hope that it could provide users with the concept of eco-design and eco-innovation for the phase of product design or problem solving.

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张富雄(2012)。整合专利多元尺度分析与萃思方法论之产品创新设计流程。台北科技大学工业工程与管理系硕士班学位论文。2012。1-104。

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引用含有DOI的文献

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。 如想对DOI的使用与概念有进一步了解，请参考 （ ） 。

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。如想对DOI的使用与概念有进一步了解，请参考（）。