Abstract
Today, there is a need to manage composite patents based on emerging technologies in business. The research related to ranking candidate patents and selecting optimization strategies does not consider the constraints of non-functional properties. This paper proposes a method for incorporating the GA and rough set theory that can (i) solve problems that can be decomposed into functional requirements, and (ii) improve GA performance by reducing the range of the initial population and constrained crossover using rough set theory. Based on our experimental results, this approach has shown great promise and operates effectively.
| Original language | English |
|---|---|
| Pages (from-to) | 39-55 |
| Number of pages | 17 |
| Journal | International Journal of Information and Management Sciences |
| Volume | 24 |
| Issue number | 1 |
| Publication status | Published - 2013 Mar 1 |
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All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
- Control and Systems Engineering
- Management Information Systems
- Strategy and Management
- Information Systems and Management
Cite this
Liang, W. Y., & Huang, C. C. (2013). The genetic algorithm with rough set theory incorporated into the patent composition. International Journal of Information and Management Sciences, 24(1), 39-55.