2011
DOI: 10.1080/02772248.2011.623678
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Fuzzy logic-based modeling of the impact of industrial activities on the environmental status of an industrial estate in Nigeria

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Cited by 4 publications
(2 citation statements)
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“…The pollution impact of the regulated contaminants -As, Cd, Se, Pb, Ni, Cr, Cu, and Zn -in the chosen organic fertilizers was modeled using FCA. This approach is suitable for extracting transparent, systemic, reliable, and logical information from vague or uncertain data; and it involves the adoption of fuzzy reasoning techniques to create a membership function matrix that is subsequently subjected to a weighted average assessment [25,38].…”
Section: Modelling Of Pollution Impactmentioning
confidence: 99%
See 1 more Smart Citation
“…The pollution impact of the regulated contaminants -As, Cd, Se, Pb, Ni, Cr, Cu, and Zn -in the chosen organic fertilizers was modeled using FCA. This approach is suitable for extracting transparent, systemic, reliable, and logical information from vague or uncertain data; and it involves the adoption of fuzzy reasoning techniques to create a membership function matrix that is subsequently subjected to a weighted average assessment [25,38].…”
Section: Modelling Of Pollution Impactmentioning
confidence: 99%
“…Unarguably, and to the best of the authors' knowledge, it is obvious that the majority of the researches on the reporting and comparing pollutants' concentrations with known standards. This approach promotes vagueness and inconsistency in data quality and as such prevents the establishment of the combined environmental impact of the contaminants, suitable for impact rating and comparative assessment, as well as the evaluation of the individual contribution of these pollutants [25]. There is therefore the need to adopt novel and advanced methodologies to ascertain these impacts and solves the aforementioned deficiencies of the conventional method; this can be achieved using suitable approaches such as fuzzy comprehensive assessment (FCA).…”
Section: Introductionmentioning
confidence: 99%