On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Trace theory for automatic hierarchical verification of speed-independent circuits
Trace theory for automatic hierarchical verification of speed-independent circuits
Advances in the Dempster-Shafer theory of evidence
A parallel algorithm for real-time decision making: a rough set approach
Journal of Intelligent Information Systems
Discovery of concurrent data models from experimental tables: a rough set approach
Fundamenta Informaticae - Special issue: to the memory of Prof. Helena Rasiowa
Basic engineering circuit analysis (6th ed.)
Basic engineering circuit analysis (6th ed.)
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Electric Circuits
Reasoning about Data - A Rough Set Perspective
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Approximate Time Rough Control: Concepts and Application to Satellite Attitude Control
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Decision Rules, Bayes' Rule and Ruogh Sets
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Design of Rough Neurons: Rough Set Foundation and Petri Net Model
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Handbook of Modern Sensors: Physics, Designs, and Applications (Handbook of Modern Sensors)
Handbook of Modern Sensors: Physics, Designs, and Applications (Handbook of Modern Sensors)
An Application of Rough Set Methods in Control Design
Fundamenta Informaticae
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This paper considers models of sensors, filters, and sensor fusion with Petri nets defined in the context of rough sets. Sensors and filters are fundamental computational units in the design of systems. The intent of this work is to construct Petri nets to simulate conditional computation in approximate reasoning systems, which are dependent on filtered input from selected sensors considered relevant in problem solving. In this paper, coloured Petri nets provide a computational framework for the definition of a family of Petri nets based on rough set theory. Sensors are modeled with what are known as receptor processes in rough Petri nets. Filters are modeled as Łukasiewicz guards on some transitions in rough Petri nets. A Łukasiewicz guard is defined in the context of multivalued logic. Łukasiewicz guards are useful in culling from a collection of active sensors those sensors with the greatest relevance in a problem-solving effort such as classification of a "perceived" phenomenon in the environment of an agent. The relevance of a sensor is computed using a discrete rough integral. The form of sensor fusion considered in this paper consists in selecting only those sensors considered relevant in solving a problem. The contribution of this paper is the modeling of sensors, filters, and fusion in the context of receptor processes, Łukasiewicz guards, and rough integration, respectively.