Doctoral Programme on Marine Ecosystem Health and Conservation
 Training Catalogue 2013
Applications of Fuzzy Logic to Marine Environmental Research

Module:Expert Training
Number of ECTS credits:2
Semester:1
Institute:Pavia University
Lecturer(s):
  • Marchini Agnese

  • Key words:fuzzy logic, expert systems, ecological indices
    Content:Course Content:
    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.


    Period of organization of the course: 17/02/2014 to 21/02/2014
    Duration of the Course: 25 hours
    Location of the course: on-line / Pavia university
    Teacher(s) of the course: Agnese Marchini

    Course Participation Costs: 250€
    Cost Description: Enrolment and teaching material

    Minimum/Maximum number of participants: min 2 / max 8
    Enrolment Deadline: 31/01/2014

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

    Remarks
    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.

    Contact name: Agnese Marchini
    Contact email: agnese.marchini@unipv.it

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


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