IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-08521-0_4.html
   My bibliography  Save this book chapter

Fuzzy QFD

In: Practical Manual of Quality Function Deployment

Author

Listed:
  • Davide Maritan

Abstract

Fuzziness concept, i.e. vagueness, is an essential part of the human mind and philosophy, like nature and the environment, which are guided by some mathematical rules but also by vagueness. A simplified approach to fuzzy mathematics applied to QFD is proposed in this chapter. The aim is to give the reader some basic tools to be used if the team wants to manage fuzziness in QFD projects. The reader can consider, for example, how much fuzziness exists when she/he fills in a questionnaire or puts a symbol of correlation inside a QFD matrix. In other words, interviewees, QFD team people and specialists from the departments involved in a QFD project, all are humans and so, they can sometimes change their opinion or are unable to express what they really feel. Starting from “fuzzy sets” and operations with fuzzy sets, we will focus on the so called “fuzzy numbers”, that are particular fuzzy sets. Then, the mathematical operations between fuzzy numbers, like addition, subtraction, product and division are presented with examples. At a later stage we will return to the traditional, or “crisp”, mathematics and workflow, which the previous chapters are founded on. We will review, from a fuzzy point of view, some QFD process phases, like fuzzy questionnaire design, fuzzy Preplan matrix and fuzzy QFD matrices. We will learn how to calculate the final ranking of sentences, examined in the QFD matrices, and how to set a ranking order through “defuzzification” of fuzzy numbers.

Suggested Citation

  • Davide Maritan, 2015. "Fuzzy QFD," Springer Books, in: Practical Manual of Quality Function Deployment, edition 127, chapter 0, pages 119-141, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08521-0_4
    DOI: 10.1007/978-3-319-08521-0_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-08521-0_4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.