The genetic algorithm with rough set theory incorporated into the patent composition

Wen Yau Liang, Chun Che Huang

Research output: Contribution to journalArticle

1 Citation (Scopus)

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 languageEnglish
Pages (from-to)39-55
Number of pages17
JournalInternational Journal of Information and Management Sciences
Volume24
Issue number1
Publication statusPublished - 2013 Mar 1

Fingerprint

Rough set theory
Genetic algorithms
Chemical analysis
Composite materials
Industry
Patents
Gas
Genetic algorithm
Crossover
Ranking
Emerging technologies

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

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The genetic algorithm with rough set theory incorporated into the patent composition. / Liang, Wen Yau; Huang, Chun Che.

In: International Journal of Information and Management Sciences, Vol. 24, No. 1, 01.03.2013, p. 39-55.

Research output: Contribution to journalArticle

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