A fuzzy model for olive oil sensory evaluation

Luis Martínez, Luis G. Pérez, Jun Liu, Macarena Espinilla

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)


    The evaluation is a process that analyzes elements to achieve different objectives such as quality inspection, design, marketing exploitation and other fields in industrial companies. In many of these fields the items, products, designs, etc., are evaluated according to the knowledge acquired via human senses (sight, taste, touch, smell and hearing), in such cases, the process is called Sensory Evaluation. In this type of evaluation process, an important problem arises as it is the modelling and management of uncertain knowledge, because the information acquired by our senses throughout human perceptions involves uncertainty, vagueness and imprecision. The sensory evaluation of Olive oil plays a relevant role for the quality and properties of the commercialized product. In this contribution, we shall present a new evaluation model for Olive oil sensory evaluation based on a decision analysis scheme that will use the Fuzzy Linguistic Approach to facilitate the modelling and managing of the uncertainty and vagueness of the information acquired through the human perceptions in the sensory evaluation process.

    Original languageEnglish
    Title of host publicationFoundations of Fuzzy Logic and Soft Computing - 12th International Fuzzy Systems Association World Congress, IFSA 2007, Proceedings
    PublisherSpringer Verlag
    Number of pages10
    ISBN (Print)9783540729174
    Publication statusPublished (in print/issue) - 2007
    Event12th International Fuzzy Systems Association World Congress, IFSA 2007 - Cancun, Mexico
    Duration: 18 Jun 200721 Jun 2007

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4529 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Conference12th International Fuzzy Systems Association World Congress, IFSA 2007


    • Decision analysis
    • Linguistic variables
    • Sensory evaluation


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