Abstract
PurposeTo present new results concerning the applications of the uncertain variables to analysis and decision problems in a class of uncertain knowledge‐based systems described by a relational knowledge representation.Design/methodology/approachThe analysis and decision‐making problems are formulated, the general forms of the solutions are described, the theorem concerning the optimal solution is presented, numerical examples illustrating the general theoretical approaches are included.FindingsThe uncertain variables have been proved as convenient tool for solving specific optimization problems based on relational knowledge representations with unknown parameters.Originality/valueFormulation and solving optimization problem for the given certainty threshold, application to the problem of resource and task distributions in a complex of parallel operations, indications of possible practical applications.
Subject
Computer Science (miscellaneous),Social Sciences (miscellaneous),Theoretical Computer Science,Control and Systems Engineering,Engineering (miscellaneous)
Reference6 articles.
1. Bubnicki, Z. (2001), “Uncertain variables and their application to decision making”, IEEE Transactions on SMC, Part A: Systems and Humans, Vol. 31 No. 6, pp. 587‐96.
2. Bubnicki, Z. (2002a), Uncertain Logics, Variables and Systems, Springer‐Verlag, New York, NY.
3. Bubnicki, Z. (2002b), “Uncertain variables and their applications for control systems”, Kybernetes, Vol. 31 Nos 9/10, pp. 1260‐73.
4. Bubnicki, Z. (2004a), Analysis and Decision Making in Uncertain Systems, Springer‐Verlag, New York, NY.
5. Bubnicki, Z. (2004b), “Application of uncertain variables and learning algorithms in a class of distributed knowledge systems”, Proceedings of 18th IFIP World Computer Congress, Vol. “The Symposium on Professional Practice in AI”, Laboratoire d'Analyse des Systemes, Toulouse, pp. 111‐20.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献