Applications of Fuzzy Logic to Marine Environmental Research

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General information

Course cancelled for the Academic year 2015/2016. It will return in the next years, therefore come back for more information.

Fuzzy logic is an advanced computational technique which was developed to manage uncertain, approximate, vague data. Environmental data often involve imprecision (due to the natural variability of ecosystems), uncertainty (due to the incomplete knowledge on ecosystem functioning), qualitative information, subjective expert judgement. Fuzzy logic allows to deal with reasoning that is approximate rather than precise; instead of mathematical formulas, in fact, it uses linguistic rules. Fuzzy logic is able to quantify and manipulate uncertainty with mathematical rigor, thus it it represents a suitable, feasible and effective tool to deal with environmental issues.

The course on applications of fuzzy logic to marine ecology research will focus on the following topics:

  • the different sources of subjectivity involved in ecological researches;
  • basics of classical (binary) logic: truth values, logical connectives;
  • basics of fuzzy logic and fuzzy sets theory: partial truth, membership functions, linguistic rules, interpretation of logical connectives in a fuzzy environment;
  • development of a fuzzy model: strategies of fuzzification, inference and defuzzification;
  • building expert systems with fuzzy logic; an example of development of index of ecological quality;
  • fuzzy clustering of ecological data
  • review of types of fuzzy applications to marine environmental research.

Theoretical topics will be accompanied by practical examples, focused on study-cases of marine environmental research. Training experiences will also be included: students will be asked to develop fuzzy membership functions and linguistic rules, and to build fuzzy indices of ecological quality. Free software packages will be utilized during the training classes.

Teaching Methods: Remote e-training (Skype calls or similar)

Some weeks before the beginning of the course, partecipants will be contacted by e-mail by the teacher to agree timetable and details on course development, and will be provided software to install on their own PCs. This is an Expert Training course for MARES Doctoral students.

Contact Person: Agnese Marchini (


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Venue: University of Pavia
Pavia, Italy

Remote e-training



250€, for enrolment and teaching material.


Proof of doctorate enrolment; availability of a computer with a reasonable speed internet connection and availability for installing software on it.

Application Procedure:

To enrol please contact Agnese Marchini ( 

Enrolment Deadline: before February 2015.




Academic level: PhD

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