State of plant species rating assessments approaches in fuzzy conditions of their monitoring

Abstract

The paper analyzes the models of rating assessment of green spaces in large cities, developed by the author. Both models are based on the formalization of the state of plant species using linguistic variables that model the evaluation actions of experts in fuzzy conditions. The first model, developed earlier by the author, allows you to find the ratings of green spaces by comparing their states with each other. Thus, the resulting rating of the state of a plant species provides information about the advantages of one species over another, but does not provide complete information about the real state of green spaces. At the same time, it is possible that all plant species from the considered population, regardless of the rating, are not resistant to harmful urban environment. The second model, developed in this article, allows you to find the ratings of plant species based on their ideal state. For this, the distance between the linguistic variables that formalize the real state of a plant species and its ideal state is determined. Since the states of green spaces are compared with the ideal state, and not among themselves, the resulting rating of one plant species does not depend on the data obtained in the evaluation of other species. The developed models allow their alternative application depending on the goals and objectives.