Paper Info
Title
Apply Different Fuzzy Integrals In Unit Selection Problem Of Real Time Strategy Game
Abstract
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.
Year
DOI
Venue
2011
10.1109/FUZZY.2011.6007426
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011)
Keywords
Field
DocType
Real time strategy game, feature interacton, fuzzy integral, fuzzy measure, Warcraft III
Mathematical optimization,Fuzzy classification,Defuzzification,Computer science,Fuzzy set operations,Fuzzy measure theory,Artificial intelligence,Choquet integral,Fuzzy number,Type-2 fuzzy sets and systems,Membership function,Machine learning
Conference
Volume
Issue
ISSN
null
null
1098-7584
Citations 
PageRank 
References 
8
0.64
10
Authors
5
Name
Order
Citations
PageRank
Y. J. Li180.64
Peter H. Ng2184.14
H. B. Wang380.64
Simon Chi Keung Shiu466735.42
Yan Li510111.46