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

2015; Springer Nature; Linguagem: Inglês

10.1007/978-3-319-19722-7_6

1868-4408

João Inácio da Silva Filho, Irapajy da Silva Caetano, Floriana Nascimento Pontes, Maurício Conceição Mário, Jair Minoro Abe, Fábio Giordano,

Statistical and Computational Modeling

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.