AIApr 29, 2014

Assessing the players'performance in the game of bridge: A fuzzy logic approach

arXiv:1404.7279v119 citations
Originality Synthesis-oriented
AI Analysis

This provides a novel assessment tool for bridge players and organizers, though it is incremental as it complements existing scoring methods.

The paper tackles the problem of assessing total performance of bridge players in groups using a fuzzy logic approach, resulting in a method that converts fuzzy data to a crisp number for practical applications in tournaments.

Contract bridge occupies nowadays a position of great prestige being, together with chess, the only mind games officially recognized by the International Olympic Committee. In the present paper an innovative method for assessing the total performance of bridge- players' belonging to groups of special interest(e.g. different bridge clubs during a tournament, men and women, new and old players, etc) is introduced, which is based on principles of fuzzy logic. For this, the cohorts under assessment are represented as fuzzy subsets of a set of linguistic labels characterizing their performance and the centroid defuzzification method is used to convert the fuzzy data collected from the game to a crisp number. This new method of assessment could be used informally as a complement of the official bridge-scoring methods for statistical and other obvious reasons. Two real applications related to simultaneous tournaments with pre-dealt boards, organized by the Hellenic Bridge Federation, are also presented, illustrating the importance of our results in practice.

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