The Nature-Based Solutions Case-Based System: A hybrid expert system

Shahryar Sarabi; Qi Han; Bauke de Vries; A Georges L Romme; Dora Almassy

doi:10.1016/j.jenvman.2022.116413

The Nature-Based Solutions Case-Based System: A hybrid expert system

J Environ Manage. 2022 Dec 15:324:116413. doi: 10.1016/j.jenvman.2022.116413. Epub 2022 Oct 7.

Authors

Shahryar Sarabi¹, Qi Han², Bauke de Vries², A Georges L Romme³, Dora Almassy⁴

Affiliations

¹ Information Systems in the Built Environment (ISBE) Group, Department of Built Environment, Eindhoven University of Technology, Groene Loper 3, 5612 AE Eindhoven, Netherlands. Electronic address: s.ershad.sarabi@tue.nl.
² Information Systems in the Built Environment (ISBE) Group, Department of Built Environment, Eindhoven University of Technology, Groene Loper 3, 5612 AE Eindhoven, Netherlands.
³ Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Groene Loper 3, 5612 AE Eindhoven, Netherlands.
⁴ Department of Environmental Sciences and Policy, Central European University, Austria.

PMID: 36352717
DOI: 10.1016/j.jenvman.2022.116413

Abstract

Deriving knowledge and learning from past experiences is essential for the successful adoption of Nature-Based Solutions (NBS) as novel integrative solutions that involve many uncertainties. Past experiences in implementing NBS have been collected in a number of repositories; however, it is a major challenge to derive knowledge from the huge amount of information provided by these repositories. This calls for information systems that can facilitate the knowledge extraction process. This paper introduces the NBS Case-Based System (NBS-CBS), an expert system that uses a hybrid architecture to derive information and recommendations from an NBS experience repository. The NBS-CBS combines a 'black-box' artificial neural networks model with a 'white-box' case-based reasoning model to deliver an intelligent, adaptive, and explainable system. Experts have tested this system to assess its functionality and accuracy. Accordingly, the NBS-CBS appears to provide inspirational recommendations and information for the NBS planning and design process.

Keywords: Artificial intelligence; Case-based reasoning; Expert system; Knowledge extraction; NBS; Nature-based solutions.

MeSH terms

Conservation of Natural Resources*
Expert Systems*
Neural Networks, Computer*