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Paraconsistent Logic Algorithms Applied to Seasonal Comparative Analysis with Biomass Data Extracted by the Fouling Process

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Book cover Paraconsistent Intelligent-Based Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 94))

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Abstract

In ecology, extracting information about species that live in ecosystems and to find new ways to make the analysis of this data is very important to get the levels of contamination of the marine environment and other information about ecosystems. The values of biomass taken from ecological process is called Fouling, which are considered complex, bring usually incomplete or even inconsistent information and therefore can lead to conclusions far from the reality. Recently, paraconsistent logics have emerged as an innovative proposal to make the data processing which brings contradictory or uncertain information and therefore can offer better response under these conditions. In this chapter, we present a method that uses paraconsistent annotated logic (PAL) to find degrees of evidence resulting from seasonal comparison among analytical descriptor values of biomass type in the Fouling process.

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Authors and Affiliations

  1. UNISANTA—Santa Cecília University, Oswaldo Cruz Street, 288, Santos, SP, CEP 11045-000, Brazil

    João Inácio da Silva Filho, Irapajy da Silva Caetano, Floriana Nascimento Pontes, Maurício Conceição Mario & Fábio Giordano

  2. IEA-USP—Institute of Advanced Studies of the University of São Paulo, Prof. Luciano Gualberto Avenue, no 374, University, São Paulo, SP, CEP 05508-900, Brazil

    João Inácio da Silva Filho & Jair Minoro Abe

  3. Graduate Program in Production Engineering, Paulista University, São Paulo, Brazil

    Jair Minoro Abe

Authors
  1. João Inácio da Silva Filho
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  2. Irapajy da Silva Caetano
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  3. Floriana Nascimento Pontes
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  4. Maurício Conceição Mario
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  5. Jair Minoro Abe
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  6. Fábio Giordano
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Corresponding author

Correspondence to Fábio Giordano .

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Editors and Affiliations

  1. São Paulo, Brazil

    Jair Minoro Abe

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da Silva Filho, J.I., da Silva Caetano, I., Pontes, F.N., Mario, M.C., Abe, J.M., Giordano, F. (2015). Paraconsistent Logic Algorithms Applied to Seasonal Comparative Analysis with Biomass Data Extracted by the Fouling Process. In: Abe, J. (eds) Paraconsistent Intelligent-Based Systems. Intelligent Systems Reference Library, vol 94. Springer, Cham. https://doi.org/10.1007/978-3-319-19722-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-19722-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19721-0

  • Online ISBN: 978-3-319-19722-7

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