New models for monitoring and clustering of the state of plant species based on semantic spaces

Article type: Research Article

Authors: Darwish, Ashraf | Poleshchuk, O.

Affiliations: Faculty of Science, Helwan University, Cairo, Egypt | Department of Electronics and Computers, Moscow State Forest University, Moscow, Russia

Note: [] Corresponding author. Ashraf Darwish, Faculty of Science, Helwan University, Cairo, Egypt. E-mail: amodarwish@yahoo.com

Abstract: One of the tasks of a program of greenery monitoring is the task of determination of plant species which are the most adapted for severe ecological conditions of urban environment with the purpose of planning of various measures to be performed at amenity planting objects. Taking into account that even a highly qualified expert may not always be absolutely sure of assigning plants to one of the categories of state we formalize the results of expert evaluation of plants with the help of semantic spaces. These formalizations are used for clustering of plant species and for determination their ratings.

Keywords: Semantic spaces, expert evaluation, urban environment, plant species, monitoring, clustering, fuzziness

DOI: 10.3233/IFS-120702

Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 3, pp. 1089-1094, 2014