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» Making decisions based on the preferences of multiple agents
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IAT
2010
IEEE
13 years 7 months ago
Possibility Degree Method for Ranking Intuitionistic Fuzzy Numbers
Abstract--In this paper, we study the method of ranking intuitionistic fuzzy numbers. Firstly a possibility degree formula is defined to compare two intuitionistic fuzzy numbers. W...
Cui-Ping Wei, Xijin Tang
WSC
2000
13 years 10 months ago
Improved decision processes through simultaneous simulation and time dilation
Simulation models are often not used to their full potential in the decision-making process. The default simulation strategy of simple serial replication of fixed length runs mean...
Paul Hyden, Lee Schruben
WINE
2005
Springer
161views Economy» more  WINE 2005»
14 years 2 months ago
Design of Incentive Compatible Mechanisms for Stackelberg Problems
This paper takes the first steps towards designing incentive compatible mechanisms for hierarchical decision making problems involving selfish agents. We call these Stackelberg p...
Dinesh Garg, Yadati Narahari
AMEC
2003
Springer
14 years 2 months ago
Improving Learning Performance by Applying Economic Knowledge
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
Christopher H. Brooks, Robert S. Gazzale, Jeffrey ...
AAAI
2006
13 years 10 months ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer