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This letter is concerned with decision making under uncertainty in problems involving high dimensional state spaces. Inspired by conservative information fusion techniques, we propose a novel paradigm where decision making is performed over a conservative rather than the original information space. The key idea is that regardless of the sparsity pattern of the latter, one can always calculate a sparse...
Dominance measuring methods are an approach for dealing with complex decision-making problems with imprecise information within multi-attribute value/utility theory. These methods are based on the computation of pairwise dominance values and exploit the information in the dominance matrix in different ways to derive measures of dominance intensity and rank the alternatives under consideration. In...
Programming for personnel quota is an important part of Human Resource Management of Enterprise. The configuration of various categories of personnel will have a direct impact on the reasonableness of economic efficiency of enterprises. Generally Programming for Personnel quota was more considered from the point of labor quota. It can basically meet the requirements of the job quantity, but it often...
It has been an increasing trend to develop multicriteria decision-making models with imprecise, uncertain, or vague decision data. An effective way to express a decision maker's (DM's) uncertain preference information is the use of interval-valued intuitionistic preference relations. In this paper, the concept of multiplicative consistent interval-valued intuitionistic preference relations is defined...
Cyber Physical Systems are distributed systems-of-systems that integrate sensing, processing, networking and actuation. Aggregating physical data over space and in time emerges as an intrinsic part of data acquisition, and is critical for dependable decision making under performance and resource constraints. This paper presents a Linear Programming-based method for optimizing the aggregation of data...
Fully utilizing the structural data and nonstructural data in the age of informationization and obtaining the efficient information using data mining technique to direct the decision making in regional management have become more important in China. Discriminant analysis is a typical data mining method. In the view of knowledge management in different regions, discriminant analysis based on DEA model...
This paper provides a methodology to rank competing entities in terms of their overall performance. Similarities of the entities are used for ranking. The methodology is composed of three stages. Initially, the data is standardized. Secondly, hierarchical cluster analysis is conducted to capture the similarities among the entities. Then a linear programming model is run for final rankings. Furthermore...
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