Methodological Concept for Organizing an Information System of Public and Professional Expertise in the Field of Ecology and Environmental improvement

Today, there is a gap between the requirement of independent and objective analysis of decisions by public authorities and the mechanism for involving stakeholders in this process. The key tool for achieving this reasonableness is public and professional expertise. The object of the study was a system for organizing public and professional expertise of management decisions in the fields of ecology and urban environment improvement using digital platforms. The goal of the work is to create a concept for designing an information system that provides effective organization of public and professional expertise. Such a system should allow the stakeholders to participate collectively in assessing the public importance of environmental and landscaping issues, contributing to management decisions through comprehensive discussion. This paper presents an integrated methodology of reconciliation of estimates in the information system of social-professional expertise, based on the synthesis of fuzzy logic, graph theory and Delphi method. Within the framework of development of information system of social-professional expertise in the field of ecology and improvement, conceptual models of functioning were created: 1) subsystems for selection and ranking of stakeholder representatives based on processing self-assessments through fuzzy logic; 2) subsystems for configuration of a relevant network from a pool of stakeholder representatives based on the root tree of graph theory; 3) subsystem of expert evaluation of problems of public importance based on the Delphi method. Scientific novelty is defined by the complex use of mathematical and organizational methods, which allows to overcome uncertainty and subjectivity of self-assessments of experts, to structure information flows in pools of experts and to ensure consistency of decisions. The developed information system increases the quality and legitimacy of management decisions on issues of public importance.