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Contribution of the Paraconsistent Tri-Annotated Logic to emergy accounting and decision making

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  • Bonilla, Silvia H.
  • Papalardo, Fábio
  • Tassinari, Celso A.
  • Sacomano, Jose B.
  • de Carvalho, Fabio Romeu

Abstract

The process of decision-making is a complex task that can become more challenging if the information provided by indicators is contradictory. Emergy accounting is an environmental accounting methodology that has been used to guide environmental decision making. In this paper we propose a comprehensive tool to support decision-making in emergy accounting. Paraconsistent Logic is a non-classic logic, which can aid in decision-making when the investigator is confronted with contradictory results. Paraconsistent Tri-Annotated Logic (PL3v) is proposed as a decision tool to compare different systems and allow selection of those alternatives with the best performance from the standpoint of sustainability defined in emergy terms. The rationale behind our selection of a set of emergy indicators to assess sustainability included such factors as increased efficiency, setting a priority for local resource use and minimization of the use of non-renewable resources. Two actual examples from the literature that resulted in contradictory evidence of system sustainability were compared within the framework of PL3v. Emergy indicators that correspond to positive evidence of sustainability (i.e., those that show increased efficiency and greater local resource use) were assigned as two favorable logic measures of sustainability. The PL3v analysis is completed with the identification of evidence that is unfavorable to sustainability, which is given by a third indicator negatively correlated with sustainability (i.e., non-renewable resource use). Operationally, the methodology proposed the normalization of the indicator values between [0,1] to fit to the PL3v annotation framework. Comparison of the systems examined is presented through the Paraconsistent Logic approach with the aid of a graphical representation and the calculation of the degree of certainty related to the truthfulness of the sustainability proposition.

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  • Bonilla, Silvia H. & Papalardo, Fábio & Tassinari, Celso A. & Sacomano, Jose B. & de Carvalho, Fabio Romeu, 2019. "Contribution of the Paraconsistent Tri-Annotated Logic to emergy accounting and decision making," Ecological Modelling, Elsevier, vol. 393(C), pages 98-106.
  • Handle: RePEc:eee:ecomod:v:393:y:2019:i:c:p:98-106
    DOI: 10.1016/j.ecolmodel.2018.12.015
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    References listed on IDEAS

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    1. Sciubba, Enrico & Ulgiati, Sergio, 2005. "Emergy and exergy analyses: Complementary methods or irreducible ideological options?," Energy, Elsevier, vol. 30(10), pages 1953-1988.
    2. Agostinho, Feni & Diniz, Guaraci & Siche, Raúl & Ortega, Enrique, 2008. "The use of emergy assessment and the Geographical Information System in the diagnosis of small family farms in Brazil," Ecological Modelling, Elsevier, vol. 210(1), pages 37-57.
    3. Guomin Li & Yaoqiu Kuang & Ningsheng Huang & Xiangyang Chang, 2014. "Emergy Synthesis and Regional Sustainability Assessment: Case Study of Pan-Pearl River Delta in China," Sustainability, MDPI, vol. 6(8), pages 1-28, August.
    4. Brown, Mark T. & Campbell, Daniel E. & De Vilbiss, Christopher & Ulgiati, Sergio, 2016. "The geobiosphere emergy baseline: A synthesis," Ecological Modelling, Elsevier, vol. 339(C), pages 92-95.
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    1. Ren, Siyue & Feng, Xiao, 2021. "Emergy evaluation of ladder hydropower generation systems in the middle and lower reaches of the Lancang River," Renewable Energy, Elsevier, vol. 169(C), pages 1038-1050.

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