On complex fuzzy sets

By D. Ramot, Menahem Friedman, G. Langholz, Ron Milo, A. Kandel. IEEE International Conference on Fuzzy Systems, 2001

308 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b9a1ad566526fb8ec83b6e87514e7b6fc620057c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zeshui Xu
2. Francisco Herrera
3. Edurne Barrenechea Tartas
4. Humberto Bustince
5. Javier Montero
6. Javier Fernández
7. Benjamín René Callejas Bedregal
8. B. De Baets

In Management Science and Operations Research

1. Zeshui Xu
2. Francisco Herrera
3. Tahir Mahmood
4. Zeeshan Ali
5. Humberto Bustince
6. Kifayat Ullah
7. Javier Fernández
8. Qaisar Khan

In Statistics and Probability

1. Tahir Mahmood
2. Francisco Herrera
3. Humberto Bustince
4. Javier Fernández
5. Zeshui Xu
6. Edurne Barrenechea Tartas
7. Benjamín René Callejas Bedregal
8. Javier Montero

Citations in the corpus

• Complex fuzzy logic (2003, background): “Complex fuzzy sets were introduced in [13], where their mathematical properties are developed.”
• Einstein Geometric Aggregation Operators using a Novel Complex Interval-valued Pythagorean Fuzzy Setting with Application in Green Supplier Chain Management (2021, background): “To manage such vulnerability, the principle of complex FS (CFS) was elaborated by Ramot et al. (2002).”
• A Historical Account of Types of Fuzzy Sets and Their Relationships (2016, background): “[119] proposed the idea of a CFS (which was later also developed by Dick [47]) as follows.”