Rumovskaya Sophiya Borisovna

Publications in Math-Net.Ru

1. Hybrid intelligent multiagent system as a model of a small team of specialists for solving practical problems
   
   Sistemy i Sredstva Inform., 35:1 (2025),  125–148
2. Cooperative self-configuring hybrid intelligent systems for personalized diagnostics and prognosis in medicine: conceptual idea, development approach, and problem decomposition
   
   Sistemy i Sredstva Inform., 34:4 (2024),  59–72
3. Intelligent decision support systems in medicine: Concept, problems, and approaches to the development
   
   Sistemy i Sredstva Inform., 34:2 (2024),  107–122
4. Selection of specialists in the organization of collective solving problems
   
   Inform. Primen., 17:2 (2023),  96–103
5. A visual language of the representation of the conflict management process in hybrid intelligent multiagent systems
   
   Sistemy i Sredstva Inform., 33:2 (2023),  60–70
6. Visual representation of the decrease in conflict intensity and its resolution in hybrid intelligent multiagent systems
   
   Inform. Primen., 16:2 (2022),  94–101
7. Modeling of the development of a complete early differential diagnosis and prognosis of the state of complex objects in medicine. Problems and prospects
   
   Sistemy i Sredstva Inform., 32:3 (2022),  26–35
8. Visual representation method for the conflict stimulation in hybrid intelligent multiagent systems
   
   Inform. Primen., 15:3 (2021),  75–82
9. Research prototype of a cognitive hybrid intelligent system for supporting diagnostic decision-making
   
   Sistemy i Sredstva Inform., 31:4 (2021),  61–70
10. Conflict visual representation method in hybrid intelligent multiagent systems
    
    Inform. Primen., 14:4 (2020),  77–82
11. Fuzzy control of heterogeneous thinking of the hybrid intelligent multiagent system's agents
    
    Sistemy i Sredstva Inform., 30:4 (2020),  38–49
12. Solving of diagnostic tasks by a doctor
    
    Sistemy i Sredstva Inform., 30:3 (2020),  39–48
13. Methods of modeling and visual representation of a conflict in a small collective of experts solving problems (review)
    
    Inform. Primen., 13:3 (2019),  122–130
14. Visual metalanguage for description of solution of diagnostic problems
    
    Sistemy i Sredstva Inform., 29:4 (2019),  39–49
15. Modeling of collective decisions by the virtual council
    
    Artificial Intelligence and Decision Making, 2018, no. 4,  20–31
16. Fuzzy models of "Virtual council" for heterogeneous diagnostics of arterial hypertension
    
    Nechetkie Sistemy i Myagkie Vychisleniya, 12:1 (2017),  65–78
17. Method for measuring synergy effect in hybrid intelligent multiagent systems
    
    Sistemy i Sredstva Inform., 27:3 (2017),  99–111
18. Informal axiomatic theory of the role visual models
    
    Inform. Primen., 10:4 (2016),  114–120
19. “Virtual council” — source environment supporting complex diagnostic decision making
    
    Inform. Primen., 10:3 (2016),  81–90
20. Fine-grained hybrid intelligent systems. Part 2: Bidirectional hybridization
    
    Inform. Primen., 10:1 (2016),  96–105
21. Visual reasoning modeling in a functional hybrid intelligent system
    
    Sistemy i Sredstva Inform., 26:4 (2016),  100–113
22. Conceptual model of virtual heterogeneous collective for supporting group decision-making
    
    Sistemy i Sredstva Inform., 26:3 (2016),  93–105
23. Fine-grained hybrid intelligent systems. Part 1: Linguistic approach
    
    Inform. Primen., 9:4 (2015),  98–105
24. Virtual heterogeneous collectives for supporting decision-making
    
    Sistemy i Sredstva Inform., 25:3 (2015),  126–149
25. Experimental research of laboratory prototype of an artificial heterogeneous system for diagnosis of arterial hypertension
    
    Sistemy i Sredstva Inform., 24:3 (2014),  121–143
26. Functional hybrid intelligent decision support system for diagnostics of arterial hypertension
    
    Sistemy i Sredstva Inform., 24:1 (2014),  153–179
27. Study of the complex problem of arterial hypertension diagnostics in the methodology of artificial heterogeneous systems
    
    Sistemy i Sredstva Inform., 23:2 (2013),  96–114