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1 **Affiliation :
**Department of Mathematics, Payame Noor University, P.O.Box. 19395-4697, Tehran, Iran

** Email : **rezaei@pnu.ac.ir

2 **Affiliation :
**Department of Mathematics, Ege University, 35100 Izmir, Turkey

** Email : **tahsin.oner@ege.edu.tr

3 **Affiliation :
**Department of Mathematics and Science, University of New Mexico, Gallup, UNM 87301, USA

** Email : **tugcektcn@gmail.com

4 **Affiliation :
**Department of Mathematics, Ege University, 35100 Izmir, Turkey.

** Email : **smarand@unm.edu

5 **Affiliation :
**Yogananda School of AI, Comput. Data Sci., Shoolini University, Solan 173229, Himachal Pradesh, India

** Email : **neerajgandotra@shooliniuniversity.com

Received: Aug. 30, 2021 Accepted: Jan 16, 2022

**Abstract : **

Recently, research on uncertainty modeling is progressing rapidly and many essential and breakthrough studies have already been done. There are various ways such as fuzzy, intuitionistic and neutrosophic sets to handle these uncertainties. Although these concepts can handle incomplete information in various real-world issues, they cannot address all types of uncertainty such as indeterminate and inconsistent information. Also, plithogenic sets as a generalization of crisp, fuzzy, intuitionistic fuzzy, and neutrosophic sets, which is a set whose elements are characterized by many attributes’ values. In this paper, our aim is to demonstrate and review the history of fuzzy, intuitionistic and neutrosophic sets. For this purpose, we divided the paper as: section 1. History of Fuzzy Sets, section 2. History of Intuitionistic Fuzzy Sets and section 3. History of Neutrosophic Theories and Applications, section 4. History of Plithogenic Sets.

**Keywords : **

Neutrosophic sets; Plithogenic sets; Intuitionistic Fuzzy Sets

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A. Rezaei , T. Oner , T. Katican , F. Smarandache , N. Gandotra,