Abstract

The paper poses the problem of increasing the efficiency of energy- and resource saving in socio-technical systems, which consist of resource-intensive subsystems (for example, subsystems of electricity, heat and water supply). A compositional fuzzy model for efficiency estimating of energy- and resource saving of socio-technical systems is proposed. This compositional fuzzy model consists of the following models: firstly, a set of fuzzy cognitive models for estimating the effects of actions on the subsystems’ indicators; secondly, a set of fuzzy rules-based models for efficiency estimating of energy- and resource saving of subsystems; thirdly, a generalized fuzzy model for efficiency estimating of energy- and resource saving of system as a whole. The procedure of compositional fuzzy modeling of energy- and resource saving in socio-technical systems is described.

Details

Title
Compositional fuzzy modeling of energy- and resource saving in socio-technical systems
Author
Bobryakov, A; Borisov, V; Gavrilov, A; Tikhonova, E
Section
Journal_Article
Publication year
2019
Publication date
Jan 2019
Publisher
European Alliance for Innovation (EAI)
e-ISSN
2032944X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2306238931
Copyright
© 2019. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.