Open AccessDECISION-MAKING BASED ON THE RECEPTOR-LIGAND INTERACTION METHODS
Author(s) -
Aleksandr K. Ivanov,
Aleksandr L. Savkin,
Dmitriy M. Yastrebov,
Sergey S. Shumilov
Publication year - 2021
Publication title -
avtomatizaciâ processov upravleniâ
Language(s) - English
Resource type - Journals
ISSN - 1991-2927
DOI - 10.35752/1991-2927-2021-3-65-4-18
Subject(s) - computer science , basis (linear algebra) , matching (statistics) , data mining , mathematics , statistics , geometry
The article deals with the mathematical models of decision-making in the management organization systems. The models are based on the receptor-ligand interaction methods studied in the biokinetics. The article describes an interaction between initial data coming to the organization system and knowledge database generated on the basis of operation experience. The combination of matching pairs creates decisions for resolving problems and achieving the goals. The interaction may take one or more stages. For one stage the models were developed in the form of differential equations when the starting amount of data is not equal to the one in knowledge database. When the amounts are equal, the model is represented as Riccati equation in a special form solving by an indefinite coefficient. The article considers cases when information recourses of initial data and the ones of knowledge database are not uniquely defined. The similar models are developed for two stages of interaction. The article gives the examples of calculation of information recourses amount for a decision in case of different ratios of initial data/ knowledge database.