Tom Davot , Tuan-Anh Vu , Sébastien Destercke , David Savourey
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引用次数: 0
Abstract
Many works within robust combinatorial optimisation consider interval-valued costs or constraints. While most of these works focus on finding a unique solution following a robust criteria such as minimax, a few consider the problem of characterising a set of possibly optimal solutions. This paper is situated within this line of work, and considers the problem of exactly enumerating the set of possibly optimal matroids under interval-valued costs. We show in particular that each solution in this set can be obtained through a polynomial procedure, and provide an efficient algorithm to achieve the enumeration.
期刊介绍:
The International Journal of Approximate Reasoning is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest.
Relevant topics include, but are not limited to, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), possibility theory, fuzzy sets, rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, game-theoretic probability, default reasoning, nonstandard logics, argumentation systems, inconsistency tolerant reasoning, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning.
Domains of application for uncertain reasoning systems include risk analysis and assessment, information retrieval and database design, information fusion, machine learning, data and web mining, computer vision, image and signal processing, intelligent data analysis, statistics, multi-agent systems, etc.