Apply different fuzzy integrals in unit selection problem of real time strategy game

Y. J. Li, Peter H.F. Ng, H. B. Wang, Chi Keung Simon Shiu, Y. Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)


Choquet Integral (CI), which is known as a fuzzy measure-based technique, has been a general aggregation tool for multi-criteria decision making problem. In this paper, we apply Choquet Integral to unit selection problem in Real Time Strategy (RTS) game. In addition, three new fuzzy integrals named Mean-based Fuzzy Integral (Me-based FI), Max-based Fuzzy Integral (Ma-based FI), and Order-based Fuzzy Integral (Or-based FI) are developed, which relax the monotonicity requirement of the traditional fuzzy measures and consider different properties of game play. We compare the performance of Choquet Integral and the new proposed ones on this practical application with highly non-monotonic data. Experiments show that the proposed new fuzzy integrals achieved better learning performance and testing result.
Original languageEnglish
Title of host publicationFUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Number of pages8
Publication statusPublished - 27 Sep 2011
Event2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan
Duration: 27 Jun 201130 Jun 2011


Conference2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011


  • feature interacton
  • fuzzy integral
  • fuzzy measure
  • Real time strategy game
  • Warcraft III

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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