Fuzzy cognitive mapping to support multi-agent decisions in development of urban policymaking

Pluchinotta, Irene; Esposito, Dario; Camarda, Domenico

doi:10.1016/j.scs.2018.12.030

Cited by 38 publications

(20 citation statements)

References 59 publications

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“…Methods based on fuzzy cognitive maps are used to control and plan the optimal work of engineering structures [35], to design transfer and financial systems [36], design intelligent solutions to reduce energy consumption in buildings [36], or to optimize urban policy development [37]. As emphasized [37,38], Fuzzy Cognitive Maps (FCM) are a method well adapted to solving problems related to sustainable urban development. These problems are uncertain, and the information is usually incomplete and confusing to model and does not lead directly to the optimal solution.…”

Section: Soundscape Managementmentioning

confidence: 99%

Noise as a Factor of Green Areas Soundscape Creation

et al. 2020

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The article’s research subject concerns soundscape acoustic perception and human perception. The article aims to support decision-making processes, based on the subjective assessment of green areas by visitors, allowing modeling of planning strategies in urban green areas. This would allow creating a friendly soundscape and managing it sustainably. The need to create a musical landscape can contribute to finding a new function and attractive form for the studied areas now and in the future. Research carried out for selected city parks in Bydgoszcz (Poland) took into consideration people’s responses in assessing the soundscape. Surveys conducted in selected parks provided information on noise sources and how consumers perceive noise during their stay in the park. A question about feeling described the reception of sound sources’ intensity by respondents (level of feeling: low, medium, high, and very high). The completed studies allow to “translate” subjective sound level responses to the numerical values of the correlation using fuzzy cognitive maps. The implemented scenarios show the possibility of using tools supporting the decision-making process in urban planning, taking into account existing acoustic conditions.

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Section: Soundscape Managementmentioning

confidence: 99%

Noise as a Factor of Green Areas Soundscape Creation

et al. 2020

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“…Fuzzy logic presents techniques such as fuzzy cognitive mapping that helps the study of causality between variables of different order and complexity [25], and which contributes to the problems of supplier selection. According to [57], the advantage of fuzzy cognitive mapping is in the understanding of complex systems, and it is delimited by the quality of the information and the relation of the objects that are analyzed, [58][59][60][61][62][63][64][65][66].…”

Section: Supplier Selection Techniques and Methods To Usementioning

confidence: 99%

Supplier Selection for Photovoltaic Module Installation Utilizing Fuzzy Inference and the VIKOR Method: A Green Approach

2020

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The necessary transformation of the world’s energy matrices has led to a growth in developing technologies based on renewable sources. In this context, photovoltaic panels and their components count in Brazil with a production and commercialization chain that has accumulated a sustained growth of more than 100% of its generation capacities between the years 2018 and 2019, and that can fulfill or overcome this rate in 2019 to 2020. However, the conditions of a competitive market and the availability of a significant number of middle and small companies for the distribution and installation of photovoltaic technology may represent a scenario where multiple indicators must be considered. The purpose of this study is to apply a combined method to aid decision-making that corresponds to the supplier selection of the technology in the context of Northeast Brazil. The method is composed by the combination of a diffuse inference technique together with a multicriteria decision-making method, VIKOR, and the weight assignment to the indicators using the entropy method, according to the values of the decision matrix resulting from the diffuse inference technique that allows to develop the calculus. The results show that data collection from multiple sources and based on input variables can offer metrics about the suppliers for the selection criteria. Restrictions derived from data collection can be a barrier, and the method relies on an adapted script that facilitates application.

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“…One of the main benefits of eliciting individual mental models, using the same variables, is that it can reveal similarities and differences in how people construct their knowledge (Moon & Adams 2016;Moon et al 2017). Similarities are important in developing consensus models, such as fuzzy cognitive maps or system dynamics models, which can be used to support decision making, enable prediction, and assess management effectiveness (e.g., Pagano et al 2019;Pluchinotta et al 2019). Differences in mental models are also critical to identify because they can lead to uncertainty, power struggles, disputes, poorer environmental outcomes, public opposition, lack of collaboration and coordination, and planning and implementation failures (Moon & Adams 2016).…”

Section: Exploring Similarities and Differences (Phase 4)mentioning

confidence: 99%