Compositional fuzzy modeling of energy- and resource saving in socio-technical systems

Abstract

Keywords: energy-and resource savings; socio-technical system; rules-based fuzzy model; fuzzy cognitive model. 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.

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“…It is probably impossible to aggregate algorithms because hundreds of themes in literature can be found. One reason why many clustering algorithms exist is the fact that the cluster cannot be defined accurately [7]. Based on an understanding of the cluster model, a measure of similarity and difference, clustering algorithms can be divided into several categories.…”