2020
DOI: 10.1016/j.eiar.2020.106446
|View full text |Cite
|
Sign up to set email alerts
|

Fuzzy-based computational intelligence to support screening decision in environmental impact assessment: A complementary tool for a case-by-case project appraisal

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 17 publications
(12 citation statements)
references
References 42 publications
0
6
0
Order By: Relevance
“…Project-based assessments are suitable for science learning because they can increase students' selfefficacy, namely students' confidence in doing assignments (Morimoto et al, 2010;Effendi-hasibuan et al, 2020). Project assessment emphasizes research assignments in the form of problems related to the material starting from the planning stage, data collection, data processing, data presentation, and report preparation (Bressane et al, 2020). By giving project assignments, students will have the ability to understand, apply, investigate, and inform their knowledge.…”
Section: Resultsmentioning
confidence: 99%
“…Project-based assessments are suitable for science learning because they can increase students' selfefficacy, namely students' confidence in doing assignments (Morimoto et al, 2010;Effendi-hasibuan et al, 2020). Project assessment emphasizes research assignments in the form of problems related to the material starting from the planning stage, data collection, data processing, data presentation, and report preparation (Bressane et al, 2020). By giving project assignments, students will have the ability to understand, apply, investigate, and inform their knowledge.…”
Section: Resultsmentioning
confidence: 99%
“…Students are allowed to be creative in carrying out the project assignment that must be completed. Project evaluation emphasizes researchoriented assignments towards the problem in the instructional material starting from planning, data collection, data management, data presentation, to report writing (Bressane, da Silva, Fiore, Carra, Ewbank, De-Carli, & da Mota, 2020). By carrying out a project assignment, students will be able to understand, implement, research, and communicate their findings.…”
Section: Discussionmentioning
confidence: 99%
“…Nonetheless, it is worth mentioning that in a gridtype partition fuzzy inference system the number of rules is given by the combination of linguistic values, in other words, the number of rules can increase exponentially as a function of the number of input variables (Bressane et al 2020;Fernandes et al 2023). In this study, only four inputs were selected to compose the model; however, for cases in which a greater number of explanatory factors are introduced, this would negatively affect the transparency and interpretability of the fuzzy inference system, and, consequently, its replication (Ojha et al 2019).…”
Section: Advantages and Limitationsmentioning
confidence: 99%
“…As an alternative methodology, the fuzzy theory introduced by Zadeh (1965) provides a logical approach that is capable of dealing with complex systems, such as those observed in forest fire events that have spatial and temporal variability, as well as subjectivity, and providing an adequate mathematical treatment (Zadeh 1965;Araya-Muñoz et al 2017;Bressane et al 2020;Fernandes et al 2023). Recent environmental applications that use the fuzzy approach integrated with GIS have shown advantages over traditional techniques in evaluating several phenomena, such as susceptibility to flooding (Sahana and Patel, 2019), landslides (Nwazelibe et al 2023), drought (Nikolova et al 2021), and soil erosion (Souza et al 2019), and anthropic impact on watersheds (Lopes et al 2021).…”
Section: Introductionmentioning
confidence: 99%