A Recipe Decision Support System Using Knowledge  Information and Agent

Saito, Keita; Asada, Taro; Yoshitomi, Yasunari; Kato, Ryuji; Tabuse, Masayoshi

doi:10.2991/jrnal.2018.5.3.13

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In world practice, research for solving decision support tasks is presented quite widely. For example, the work [16][17][18][19][20] is devoted to multi-agent modelling of processes in healthcare. Work [21] is devoted to a rare topic -decision support in the treatment of osteoporosis.…”

Section: State Of Artmentioning

confidence: 99%

The Concept of Decision Support in Evaluating the Functional State of Complex System of the Biological type

Nasyrov¹,

Yusupova²,

Zulkarneev³

et al. 2019

Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

View full text Add to dashboard Cite

The aim of the work is to develop a conceptual approach to decision support in assessing the functional state of a complex system of biological type. The definition of the functional state and the basic principles of its evaluation for complex systems of biological type on the basis of system representations are formulated. A situational model of the problem environment as a set-theoretic composition of the main components and evaluation functions was developed, which allowed to formulate the definition of the problem situation. The structure of the application of data mining to assess the functional state of a complex system using as feedback models of three levels-strategic, tactical and operational. A system of coordinated models for decisionmaking in assessing the functional state of a complex system based on causal representations in the form of Markov chains and Petri nets is proposed.

show abstract

Section: State Of Artmentioning

confidence: 99%