Big data has had an immense effect on most social and industrial fields. It has three main characteristics, namely volume, variety, and velocity. Volume refers to the tremendous size of big data, variety pertains to its heterogeneous sources including numbers, text, and figures, and velocity refers to the rapid speed of data growth. Patent documents follow the characteristics of big data. A patent contains various results about the developed technology such as title, abstract, citations, figures, and drawings. In general, the volume of patent documents related to a target technology is very large. Moreover, a massive number of patent applications are submitted to the patent offices in every country daily. Patent data are analyzed for R&D planning by many institutes and companies. In this study, we propose a methodology for technology analysis applied to patent big data. Additionally, we employ fuzzy learning based on the fuzzy rule-based system for patent big data analysis. We study the fuzzy models for classification, regression, and clustering and group the patents by the fuzzy classification model. Using a fuzzy regression model, we build a technological relationship between subtechnologies. Lastly, we develop a fuzzy clustering model for technology clustering. To illustrate how our research may be applied to a practical domain, we employ a case study using the patent documents related to the three-dimensional printing technology.
International Journal of Fuzzy Systems – Springer Journals
Published: Apr 21, 2016
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera