Crisp set tuning of membership functions in fuzzy logic inference systems by probabilit density functions

Joint Authors

Mollazade, Kaveh
Yari, Farshid
Khudai, Jala

Source

ZANCO Journal of Pure and Applied Sciences

Publisher

Salahaddin University-Erbil Department of Scientific Publications

Publication Date

2019-06-30

Country of Publication

Iraq

No. of Pages

7

Main Subjects

Architecture Engineering

English Abstract

Determination of threshold values of membership functions is one of the key stages in design of a fuzzy logic inference system.

This paper presents a statistical-based method using probability density functions to simplify the construction of membership functions and to fine-tune the critical points of the membership functions for the input variables.

A Mamdani-type fuzzy inference system was developed to classify potato crop into healthy and damaged groups based on the image texture features.

The results have shown a promising performance of the proposed method for design of fuzzy logic classifiers

Data Type

Conference Papers

Record ID

BIM-894643

American Psychological Association (APA)

Yari, Farshid& Mollazade, Kaveh& Khudai, Jala. 2019-06-30. Crisp set tuning of membership functions in fuzzy logic inference systems by probabilit density functions. International Conference on Engineering and Innovative Technology (2 : 2019 : Irbil, Iraq). . Vol. 31, no. 3 (Supplement) (2019), pp.243-249.Irbil Iraq : Salahaddin University-Erbil Department of Scientific Publications.
https://search.emarefa.net/detail/BIM-894643

Modern Language Association (MLA)

Khudai, Jala…[et al.]. Crisp set tuning of membership functions in fuzzy logic inference systems by probabilit density functions. . Irbil Iraq : Salahaddin University-Erbil Department of Scientific Publications. 2019-06-30.
https://search.emarefa.net/detail/BIM-894643

American Medical Association (AMA)

Yari, Farshid& Mollazade, Kaveh& Khudai, Jala. Crisp set tuning of membership functions in fuzzy logic inference systems by probabilit density functions. . International Conference on Engineering and Innovative Technology (2 : 2019 : Irbil, Iraq).
https://search.emarefa.net/detail/BIM-894643