The Information Strategy Developing for Municipal Solid Waste Management Based on Cognitive Modelling
Vladimir Gvozdev, Oksana Bezhaeva, Anastasiya Khamidullina
Available Online September 2019.
- https://doi.org/10.2991/iwci-19.2019.11How to use a DOI?
- cognitive model; focus groups of actors; solid waste management; industrialized areas; significant factors; primary qualitative analysis
- The paper discusses the strategy developing for an effective management of municipal solid waste. The significant factors for modelling have been identified. A cognitive model, taking into account to the diversity of initial data is proposed. To solve this problem, expert-statistical estimates are proposed. Cognitive maps that correspond to the different strategies for the municipal solid waste management in industrialized areas have been constructed, specifically, the prevalence of waste storage, storage and sorting, sorting and processing. Proposed cognitive model allows to make the primary qualitative analysis of the problem situation, allows to identify the relationship and influence of various factors. This analysis reduces the level of uncertainty in waste management. The main purpose of strategies developing for municipal solid waste managing based on cognitive modeling is to reduce the uncertainty of the problem situation and make a consolidated decision, taking into account of various stakeholders interests, including population, government agencies, businesses and specialists in territorial systems management, the scientific community and public organizations.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Vladimir Gvozdev AU - Oksana Bezhaeva AU - Anastasiya Khamidullina PY - 2019/09 DA - 2019/09 TI - The Information Strategy Developing for Municipal Solid Waste Management Based on Cognitive Modelling BT - VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019) PB - Atlantis Press SP - 62 EP - 67 SN - 1951-6851 UR - https://doi.org/10.2991/iwci-19.2019.11 DO - https://doi.org/10.2991/iwci-19.2019.11 ID - Gvozdev2019/09 ER -