Computational intelligence framework for context-aware decision making

Adithya Thaduri (), Uday Kumar () and Ajit Kumar Verma ()
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Adithya Thaduri: Luleå University of Technology
Uday Kumar: Luleå University of Technology
Ajit Kumar Verma: Haugesund University College

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 4, No 12, 2146-2157

Abstract: Abstract Learning of context-aware systems is necessary in building up knowledge on the characteristics of the environment to provide efficient decision making within multi-objective requirements. As the industrial systems becomes complex day-by-day, intelligent machine learning techniques need to be implemented at respective context-aware situations to facilitate recommendations using soft computing methods based on dynamic user specifications. In this paper, a framework is designed for a meta-database that is generated by contextual information of several peers with what-if conditions and rule-based approaches and thus by provide decision making utilizing several existing soft computing algorithms.

Keywords: Context-aware; Computational intelligence; Decision making; Soft computing; Industrial systems (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13198-014-0320-8

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International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

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