Comparison between the terms Fuzzy Logic and Probability Theory
DOI:
https://doi.org/10.31272/jae.i138.1129Keywords:
Fuzziness, Probability Theory, Information, Fuzzy LogicAbstract
Fuzzy logic and probability theory are both methods for dealing with uncertainty, but they approach the problem in different ways. Probability is a mathematical concept that assigns a numerical value to the likelihood of an event occurring, where the probability value always ranges from 0 to 1. A value of (0) means the event is impossible, while a value of (1) means the event is certain. On the other hand, fuzzy logic is a system that deals with uncertain or vague information by assigning different membership functions to a fuzzy set, expressed as continuous values within the interval [0,1], but these values do not necessarily represent the probability of an event occurring.
In fuzzy logic, assumptions are not simply true or false; they can be partially true or partially false. For example, the statement “the weather is hot outside” may be somewhat true depending on the temperature. Fuzzy logic allows this kind of partial truth.
Downloads
References
- Chen, Chen, et al. "Fuzzy Logic-Based Observation and Evaluation of Pedestrians Behavioral Pattern by Age and Gender", Transpiration research part f: traffic psychology and behavior 40 (2016). DOI: https://doi.org/10.1016/j.trf.2016.04.004
- Chung, K.L," A course in Probability Theory ", Academic Press. (2001).
- Durrett, r., “Probability Theory and Example", Cambridge, (2010). DOI: https://doi.org/10.1017/CBO9780511779398
- Linde, w.,"Probability Theory", De Gruyte r. (2016). DOI: https://doi.org/10.1515/9783110466195
- Zadeh, L.A, "Fuzzy Set"", Information and Control, 8,(1965). DOI: https://doi.org/10.1016/S0019-9958(65)90241-X
- Zimmermann, H.J, "Statistical Analysis of Fuzzy Linear Regression Model Based On Different Distance", International Journal of Fuzzy Logic System, Vol 8, No 1/2, (2018). DOI: https://doi.org/10.5121/ijfls.2018.8201
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Haifa Taha Abd, Aseel Abdul-Razzaq Rashid
This work is licensed under a Creative Commons Attribution 4.0 International License.
The journal of Administration and Economics is an open- access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowedto search, download, share, distribute, print, or link to the full text of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
Creative Commons-Attribution (BY) 
