Name
Title | ||
|---|---|---|
Birough programming approach for solving bi-matrix games with birough payoff elements |
Abstract | ||
|---|---|---|
This paper analyzes the hi-matrix games under the light of birough programming. The combination of bi-matrix games and birough programming produces a new form which is defined here as birough bi-matrix games. In birough bi-matrix games, the payoff elements are characterized by birough variables and uncertainty of the birough variable is measured by birough measure which known as Chance (Ch). Utilizing the Chance measure, we have defined the expected birough Nash equilibrium strategy for the players which depends upon the confidence level and outcome of the birough bi-matrix game. In order to show the applicability and feasibility of our proposed method, a real-life example on birough bi-matrix game is presented and then solved. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/IFS-151616 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Bi-matrix game,birough variable,birough constraint,expected birough nash equilibrium strategy,genetic algorithm | Theoretical computer science,Artificial intelligence,Matrix games,Traveler's dilemma,Mathematics,Machine learning,Management science,Stochastic game | Journal |
Volume | Issue | ISSN |
29 | 2 | 1064-1246 |
Citations | PageRank | References |
1 | 0.37 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Prasanta Mula | 1 | 9 | 0.90 |
| Sankar Kumar Roy | 2 | 104 | 14.63 |
| Deng-Feng Li | 3 | 968 | 46.12 |